NARRATIVE IDENTITY AND CHARACTER TYPES: AN INTERDISCIPLINARY FRAMEWORK

Authors

  • Madaminova Umida Rustam qizi Senior Teacher, Faculty of International Journalism Uzbek State World Languages University, Uzbekistan

DOI:

https://doi.org/10.66345/stj.v4i5/1.6278

Keywords:

character classification, narrative identity, dual relationships, literary typology, narrative function, protagonist, antagonist, psychology.

Abstract

This study examines character classification in literary studies through the lens of dual character relationships. It argues that characters should be analyzed not only as individual entities but as relational constructs that shape narrative meaning. Drawing on interdisciplinary approaches and examples from American and British literature, the research demonstrates that contrasting and complementary character pairs contribute significantly to narrative identity, thematic development, and psychological depth. The findings suggest that a relational model of character classification provides a more comprehensive framework for understanding literary narratives.

Downloads

Download data is not yet available.

References

1. Archetypal character. (2013). TV Tropes.

2. Berry, M., & Brown, S. (2017). A classification scheme for literary characters. Psychological Thought, 10(2), 288–302.

3. Mandler, J. M. (1984). Stories, scripts, and scenes: Aspects of schema theory. Lawrence Erlbaum Associates.

4. McNulty, Y., & Moeller, M. (2018). A typology of dual-career expatriate spouses. In The management of global careers. Springer.

5. Madoyan, G. (2023). Character, characterization and dialogue. Armenian Folia Anglistika.

6. Favazzo, J., & Michele, P. P. (2025). The identity of fictional characters: A philosophical survey.

Downloads

Published

2026-05-26

How to Cite

NARRATIVE IDENTITY AND CHARACTER TYPES: AN INTERDISCIPLINARY FRAMEWORK. (2026). SCIENCE TIME JOURNAL, 4(5/1), 588-591. https://doi.org/10.66345/stj.v4i5/1.6278
Indexed & Abstracted In

Our articles are indexed and discoverable across leading academic databases worldwide