Panser et re(penser) les imaginaires de la colonisation dans Frère d’âme de David Diop
Bibliographic record
Abstract
L’histoire coloniale ne peut faire l’économie de l’épisode des tirailleurs Sénégalais durant la première Guerre Mondiale. A ce propos, les silences et les ambiguïtés de cette guerre asymétrique, mais également, l’infortune des soldats africains engagés dans cette immense tragédie planétaire sont au centre de préoccupations mémorielles. A travers Frère d’âme de David Diop, la présente étude interroge les silences et la propagande de guerre orchestrée contre les tirailleurs africains, sur la base de préjugés raciaux. L’approche postcoloniale d’Achille Mbembé constitue l’outillage méthodologique de cette réflexion tripartite qui explore les sources d’une mémoire coloniale controversée, s’attarde sur la nécessité de panser les imaginaires coloniaux par une déconstruction de la « bibliothèque coloniale » et enfin, insiste sur la construction d’une mémoire afrocentrée de la Grande Guerre.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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".