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Record W4289939421 · doi:10.5430/wjel.v12n6p255

The Indigenous Vision of Ecology in The Storyteller by Mario Vargas Llosa

2022· article· en· W4289939421 on OpenAlexvenueno aff
K. Monika, S. Meenakshi

Bibliographic record

VenueWorld Journal of English Language · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicLatin American Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousHegemonyLatin AmericansSociologyEnvironmental degradationBoomCapitalismEcologyHistoryPolitical scienceLawOceanographyGeologyBiology

Abstract

fetched live from OpenAlex

The contributions of Mario Vargas Llosa, along with other “boom” writers, to Latin American literature have drawn attention to Third World literature. His novels, apart from functioning on multidirectional social issues, create an awareness of the environmental issues of the Amazons. Concerning ecological issues, postcolonial countries face more crises compared to developed countries. Literary works focusing on environmental degradation emerge from these countries. Llosa’s The Storyteller is an ecocritical novel that can provoke a revaluation of man-nature interactions through an exploration of Indigenous culture. This article is an attempt to bring out the Indigenous vision of ecology as present in the novel The Storyteller by Llosa. It also advocates the need for critical analysis of postcolonial novels, which will reveal connections between imperialism, environmental degradation, capitalism, and cultural hegemony.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.012
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.004
GPT teacher head0.211
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2022
Admission routes1
Has abstractyes

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Same venueWorld Journal of English LanguageSame topicLatin American Literature AnalysisFrench-language works237,207