Du bon usage de la mémoire de l’esclavage des Noirs comme un possible capital de rédemption
Bibliographic record
Abstract
À partir du cadre méthodologique de la biographie comme théologie (McClendon 1970), cet article propose la mémoire de l’esclavage des Noirs comme un possible capital de rédemption. L’argument est basé sur la vie de sainte Joséphine Bakhita, ancienne esclave africaine, qui, devant mourir, a supplié de desserrer les chaînes si lourdes de l’esclavage. Dans une perspective hagiographique, trois points structurent le paradigme d’une théologie de l’esclavage chez Bakhita : le récit, le souvenir et la récupération de la mémoire de l’esclavage. L’idée de possible capital de rédemption s’articule conséquemment autour des mêmes caractéristiques : la subversion du récit hégélien sur l’esclavage des Noirs par le modèle de Bakhita, une rupture historique et épistémologique de l’interprétation de ce récit, et une rébellion prophétique par la possibilité de dire non.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.025 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".