Police de rue et usage de la force dans les quartiers populaires : au-delà des idées reçues
Bibliographic record
Abstract
Dans un contexte de radicalisation de la politique en matiere de contention et de repression des zones urbaines sensibles depuis au moins une decennie, confirmee par la mise en oeuvre par le ministre de l'interieur Manuel Valls des zones de securite prioritaires, le present article, en s'appuyant sur les resultats d'une enquete ethnographique sur les rapports police / population, interroge l'usage de la force dans les quartiers populaires francais. Au-dela de rapports de defiance et de reification reciproque generalement developpes entre la police et les jeunes des cite, ce texte, a l'instar des experiences americaines et canadiennes, souligne qu'il existe egalement des reponses policieres alternatives a un traitement securitaire et guerrier de la question sociale dans les quartiers ghettoises.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.019 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".