THE WORLD OF "EARTHSEA" BY W. C. LE GUIN AS AN EXAMPLE OF A "SECONDARY WORLD"

This report examines the “secondary world” in fantasy literature using the example of the first novel in the Earthsea Cycle by U. K. Le Guin. The semantic content and genesis of the term “secondary world” in the fantasy genre are determined. The ontological and mythological systematicity in the description of the geography, climate, and culture of the world is analyzed.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-12
DOI
https://doi.org/10.5281/zenodo.15202050
Primary Topic
Themes in Literature Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE WORLD OF "EARTHSEA" BY W. C. LE GUIN AS AN EXAMPLE OF A "SECONDARY WORLD"

Zenodo (CERN European Organization for Nuclear Research)
Themes in Literature Analysis
article

THE WORLD OF "EARTHSEA" BY W. C. LE GUIN AS AN EXAMPLE OF A "SECONDARY WORLD"

article en

Abstract

This report examines the “secondary world” in fantasy literature using the example of the first novel in the Earthsea Cycle by U. K. Le Guin. The semantic content and genesis of the term “secondary world” in the fantasy genre are determined. The ontological and mythological systematicity in the description of the geography, climate, and culture of the world is analyzed.

Zenodo (CERN European Organization for Nuclear Research)
Nordic International University, International University (KH)
Climate action
Openalex Percentile: Top 51%
Themes in Literature Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.