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Record W3002461385 · doi:10.7202/1066606ar

Monstres, princesses et justicières : du féminin pluriel chez Boubacar Boris Diop

2019· article· fr· W3002461385 on OpenAlexvenueno aff
Christiane Ndiaye

Bibliographic record

VenueÉtudes françaises · 2019
Typearticle
Languagefr
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Plusieurs des romans de Boubacar Boris Diop s’organisent autour d’un personnage féminin énigmatique, à la fois au centre et en marge du récit. Cet article porte en particulier sur Johanna Simentho, Khadidja et Mumbi Awele, figures d’exception dans un univers romanesque qui semble souvent incohérent. Elles jouent en effet un rôle clé dans les fables politiques des romans de Diop dont elles marquent une certaine évolution. Ainsi, alors que la reine Johanna incarne la critique du néocolonialisme, Khadidja, la conteuse, permet de questionner les mythes qui entraînent les peuples dans des guerres meurtrières. Mumbi Awele, l’artiste, se présente, dans ce contexte, comme la figure de la justicière, esquissant une voie d’issue de ces configurations traditionnelles où héros sauveurs et monstres s’affrontent continuellement.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.255
Teacher spread0.241 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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