Trap et actualité politique : un engagement contrarié ? Le cas des violences policières
Bibliographic record
Abstract
Les violences policières à caractère raciste sont un des sujets sociaux et politiques qui peuvent apparaître dans les morceaux de rap. Mais si certains morceaux répondent à cette injustice par un développement rhétorique très clair, elle peut aussi faire l’objet d’un traitement troublant, notamment dans les morceaux qui relèvent du sous-genre de la trap. Les morceaux Bamboula de Bosh, Dolce vita et PGP de Booba contiennent tous des allusions claires au sujet, sans que l’on puisse pour autant considérer que celui-ci fasse l’objet d’un discours, à la fois sur le plan grammatical et sur le plan idéologique. Plutôt que l’effet d’une contradiction personnelle, nous proposons d’y voir le fruit d’une double contrainte générique. D’une part, celle de l’éthos particulier imposé par la trap, et d’autre part, à travers la tradition de l’égo-trip, celle d’un certain éclatement thématique propre au sous- genre, qui rend impossible toute constitution d’un discours organisé.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.036 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".