Transformation des réalités policières : le cas du désengagement des forces de l’ordre
Bibliographic record
Abstract
Ces dernières années, l’Occident a assisté à une montée en visibilité des apparitions alarmistes défendant l’existence d’un problème généralisé de désengagement de la police. Le désengagement policier (ou depolicing) constitue l’hypothèse selon laquelle le public assisterait à une diminution des interventions policières en lien avec une surveillance et un contrôle hypertrophié de la profession. Cet article tâche de comprendre l’expérience policière vis-à-vis le phénomène. Les principaux résultats montrent que les policiers·ères ne sont pas tous pareillement désengagés et que l’injustice ressentie envers l’employeur et la perception du rôle de la police seraient des facteurs centraux dans l’explication du désengagement.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".