Monstres, princesses et justicières : du féminin pluriel chez Boubacar Boris Diop
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".