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Record W4415590673 · doi:10.29173/cf936

Atteintes à l’environnement naturel et didactisme écologique dans quelques récits ivoiriens pour la jeunesse

2025· article· fr· W4415590673 on OpenAlexvenueno aff
Katienegnimin Seydou Konate

Bibliographic record

VenueConvergences francophones · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChinese DreamSharecroppingESPACE

Abstract

fetched live from OpenAlex

Yacouba, chasseur africain (1998) d’Ahmadou Kourouma, Le Royaume mystérieux et autres contes de la sagesse (2014) de Seydou Gougna et Le Messager (2016) de Camara Nangala font référence à une zone de biodiversité cruciale, très marquée par la crise écologique : la Côte d’Ivoire. Cet article explore ces trois textes sous l’angle de l’écocritique ou l’écopoétique, afin de mieux cerner les enjeux actuels des défis environnementaux. Kourouma plaide en faveur des savoirs traditionnels sur l’environnement, dans un milieu rural qui se trouve être le plus ébranlé par le changement climatique. Nangala et Gougna vont plus loin, et interrogent ces lieux sur fond de crises environnementales, les œuvres intégrant ainsi une fonction pédagogique et militante. L’étude examine comment, dans les trois textes, le thème de l’environnement naturel fait le lien entre différents lieux. Ensuite, de quelle manière ils problématisent les atteintes faites à cet espace naturel, et la relation qu’ils établissent entre la destruction, la domination ou la résistance des lieux, et la destruction du sacré même, et de traditions, une clé de voûte dans la résolution de la crise climatique.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.737
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.015
GPT teacher head0.268
Teacher spread0.253 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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