Évaluation des interventions axées sur la réinsertion sociale
Bibliographic record
Abstract
Le present rapport fait etat des resultats decoulant de l’evaluation empirique des interventions effectuees aupres des personnes confiees aux Services correctionnels et visant a promouvoir leur reinsertion sociale. L’analyse s’appuie sur les donnees du dictionnaire DACOR (dossiers administratifs correctionnels) et les donnees du LS/SCMI (Level of Service/Case Management). Ces deux sources de donnees documentent de facon detaillee les caracteristiques des detenus ainsi que les informations pertinentes a leur prise en charge par les services correctionnels. Les informations portant sur la participation aux mesures de reinsertion sociale sont gerees par les etablissements. Les analyses presentees dans le rapport portent specifiquement sur les etablissements de Quebec, de Montreal et de Saint-Jerome. Ces trois etablissements ont gracieusement accepte de transmettre leurs donnees a l’equipe de recherche.
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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 | 0.027 | 0.048 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".