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Record W4205980513 · doi:10.29173/af29432

vies sans fards : la représentation des femmes dans la littérature de jeunesse de Maryse Condé

2022· article· fr· W4205980513 on OpenAlexvenueno aff
Pauline Franchini

Bibliographic record

VenueALTERNATIVE FRANCOPHONE · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Cet article propose une étude de la représentation des personnages féminins et de la domination de genre dans trois romans pour la jeunesse de Maryse Condé : Rêves amers (réédition de Haïti chérie), Savannah Blues et La Belle et la Bête, une version guadeloupéenne. L’analyse de personnages communs à ses romans pour la jeunesse et pour les adultes semble montrer que la littérature enfantine de Maryse Condé cherche a priori à édulcorer ou passer sous silence certaines violences sexuelles en opérant des modifications et des suppressions surprenantes. Mais cette apparente auto-censure ne doit pas masquer la très puissante relecture et la remise en question audacieuse de quelques archétypes féminins dans ses romans pour jeune public. Entre mères défaillantes et marâtres reproduisant les oppressions de race et de classe sur leurs domestiques, ces fictions bousculent les stéréotypes, en particulier autour de la maternité et de la figure de la potomitan ou la mère-courage antillaise. Maryse Condé questionne aussi l’imaginaire colonial et patriarcal attaché à la figure de la « belle mulâtresse » ou la « beauté des îles ».

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.006
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.014
GPT teacher head0.251
Teacher spread0.237 · 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 designQualitative
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

Citations1
Published2022
Admission routes1
Has abstractyes

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