Organisation sociale de la mise en liberté provisoire : des effets de profilage?
Bibliographic record
Abstract
La présente contribution se veut une synthèse des récents travaux que nous avons menés sur la détermination judiciaire d’une mise en liberté ou en détention provisoire. Elle vise à en montrer l’organisation sociale, en l’occurrence comment les raisonnements qui sous-tendent cette décision sont ancrés dans des nécessités socioprofessionnelles. En effet, dans un contexte balisé par le droit et le contrôle politique et médiatique, un principe de précaution partagé s’articule à une approche globale de défense sociale et mène à une escalade de conditions de libération (cautionnement en argent, recours à une personne garante, encadrement institutionnel) auxquelles les justiciables socialement marginalisés ne peuvent que difficilement répondre. La détention provisoire peut en devenir plus fréquente pour ce groupe. Le profilage social qui s’en esquisse serait ainsi un effet des pratiques en contexte.
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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 | 0.025 | 0.093 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.023 | 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".