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Record W4415590692 · doi:10.29173/cf935

La menace multiforme : écologie, violence et résistance dans Cœur du Sahel (2022) de Djaïli Amadou Amal

2025· article· fr· W4415590692 on OpenAlexvenueno aff
Charlotte Mackay

Bibliographic record

VenueConvergences francophones · 2025
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConscienceContext (archaeology)Ethnography

Abstract

fetched live from OpenAlex

Si la crise environnementale en Afrique sub-saharienne surgit de façon intermittente dans les médias occidentaux, les écrivains subsahariens s’intéressent depuis longtemps aux problématiques environnementales. Alliant poétique et politique, ils recourent au texte écrit pour dénoncer les maux du continent où les abus perpétrés à l’encontre des populations humaines vont de pair avec ceux perpétués à l’encontre du monde naturel. Cet article prend comme cas d’étude le quatrième roman de la romancière camerounaise Djaïli Amadou Amal, Cœur du Sahel (2022). Toute l’œuvre littéraire amalienne s’articule autour de la question de la femme sahélienne, des multiples violences qu’elle subit et des résistances qu’elle peut incarner. Cœur du Sahel représente une nouveauté dans l’écriture amalienne dans la mesure où le roman incorpore une menace inédite, pourtant intimement reliée aux autres, qui ne figure pas dans les textes précédents de l’auteure : celle de l’environnement. Cet article, en recourant à l’écocritique postcoloniale et au féminisme décolonial, mettra en exergue cette évolution en matière esthétique du plaidoyer continu d’Amal, de par l’inclusion d’une conscience écologique, pour l’amélioration de la condition de la femme sahélienne.

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)0.003
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 score0.079
Threshold uncertainty score0.158

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.005
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.008
GPT teacher head0.232
Teacher spread0.225 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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