Bibliographic record
Abstract
La violence en milieu carcéral est une réalité difficile à mesurer, tout comme la violence en milieu libre, mais la violence est indubitablement sous-évaluée dans les deux cas. Sur la base des statistiques officielles, il ressort que les détenus, comme le personnel de garde, sont victimisés, les premiers nettement plus intensément que les seconds. En dépit de cette constatation, la victimisation en milieu carcéral ne suscite pas l’intérêt des pouvoirs politiques. Politiquement non rentable, la prise en considération de ce type de violence provoquerait indéniablement un questionnement sur son origine autant que sur le rôle de l’institution carcérale dans ses manifestations. Par conséquent, il n’est pas étonnant que les politiciens refusent de s’intéresser à ces questions sauf lorsque des événements spectaculaires suscitent le scandale ou l’indignation populaire.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.016 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".