Mineurs judiciarisés pour délit sexuel : soutien de la désistance par le Good Lives Model
Bibliographic record
Abstract
Parmi les différentes interventions développées dans le domaine de la délinquance sexuelle, le GLM (Good Lives Model), modèle de réhabilitation humaniste et positiviste centré sur l’identification des besoins et le développement des ressources internes et externes de l’individu, connaît un intérêt clinique grandissant. Les fondements du GLM et ceux de la désistance reposent sur une conception positive du changement en se basant sur les ressources de la personne plutôt que sur les risques. Dans le cadre de cette contribution, les différentes étapes d’intervention du GLM (adaptées aux adolescents) seront présentées et illustrées à partir de l’analyse d’un suivi d’un mineur délinquant sexuel. Partant d’une lecture axée sur les besoins, l’intervention permet de développer de nouvelles façons de se percevoir et d’être perçu et, de la sorte, d’influencer positivement une dynamique d’abandon des comportements déviants sur le plan sexuel.
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 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 | 0.012 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.012 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".