Comment Roland Monpierre utilise des techniques créoles pour subvertir la BD franco-belge classique teintée de colonialisme dans La Légion Saint-Georges
Bibliographic record
Abstract
En 2010, Roland Monpierre publie une BD qui raconte un épisode de l’histoire de la vie d’un héros français, noire et guadeloupéen pendant la Révolution française (1793), en utilisant un style franco-belge profondément ancré dans le colonialisme (Delisle, McKinney). Pour dépasser cette contradiction entre le contenu progressiste (le rôle clé d’un Noir dans une France alors encore pro-esclavagiste) et la forme conservatrice (le style franco-belge des années 60), il utilise des techniques narratives qui sont favorisées par la culture caribéenne comme la mise en scène et en image de l’oralité, l’interactivité, le « tricksterisme » et l’humour. (Confiant et al. 1989).
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
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".