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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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EPIC CHARACTERISTICS OF ENGLISH FOLK TALES

Authors: Yangiboyeva Kamola Iskandarovna;

EPIC CHARACTERISTICS OF ENGLISH FOLK TALES

Abstract

This study delves into the artistic and compositional elements that define epic works within English folklore, particularly fairy tales. It explores the historical, cultural, and social contexts that have shaped the creation and transmission of these narratives. By examining the origins and evolution of English folk tales, the research highlights how these narratives reflect the values, beliefs, and experiences of the communities from which they emerged. Through a critical analysis of their structure, themes, and motifs, the research seeks to elucidate the unique aesthetic qualities and enduring appeal of English epic tales. Key characteristics such as the presence of supernatural elements, archetypal characters, and the interplay between good and evil are explored to understand their significance in the broader context of English folklore. Furthermore, the study investigates how these tales often serve as moral lessons or cautionary tales, providing insight into societal norms and expectations. The annotation also addresses the role of oral tradition in the preservation and dissemination of these stories, emphasizing the importance of storytellers in shaping and adapting narratives to fit contemporary audiences. By examining both canonical texts and lesser-known tales, the research aims to provide a comprehensive overview of the epic qualities that define English folk tales and their impact on cultural identity and heritage.

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green