Axiological parameter of the image of a literary character


Cite item

Abstract

In this article the literary text is considered from the point of view of several common humanitarian sciences such as philosophy, psychology, literature and linguistics. This synergetic approach is due to the exceptional versatility of a work of fiction as an aesthetic phenomenon and cultural heritage. One of the main functions of a literary text is its evaluation or axiological function which is primarily realized in the image of a character that performs in the text as media of ideals, norms and imperatives of an individual. In this article axiological parameter of the image of a literary character is considered by the example of Scarlett O'Hara, the heroine of the novel "Gone with the Wind" by M. Mitchell and its official sequel - "Scarlett" by A. Ripley.

About the authors

Ludmila V. Paloyko

Samara State Technical University

Email: skoro-milo@yandex.ru
Candidate of Philological Sciences, Associate Professor of Foreign Languages Department. 244, Molodogvardeiskaya Str., Samara, 443100

References

  1. Ильин В.В. Аксиология. - М.: Изд-во МГУ, 2005.
  2. Есин А.Б. Принципы и приемы анализа литературного произведения. - М.: Флинта Наука, 2000.
  3. Бахтин М.М. Эстетика словесного творчества / Сост. С.Г. Бочаров. - М.: Искусство, 1979.
  4. Новейший философский словарь / Под ред. А.А. Грицанова. - Мн.: Книжный дом, 2003.
  5. Хализев В.Е. Теория литературы. - М.: Центр Академия, 2013.
  6. Mitchell M. Gone with the Wind. - N.Y., 2008.
  7. Ripley A. Scarlett. - N.Y., 1992.

Supplementary files

Supplementary Files
Action
1. JATS XML

Copyright (c) 2016 Paloyko L.V.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).