La fonction du droit criminel moderne : de la protection de la société à la stabilisation des expectatives normatives
Bibliographic record
Abstract
Résumé Dans cet article, nous tentons de tracer les contours d’un problème sémantique qui nous paraît limiter l’évolution du système de droit criminel moderne et contribuer à la marginalisation des sanctions « positives ». Sont mises en cause les incidences et ramifications de certaines idées négatives bien appuyées par les auto-descriptions identitaires qui circonscrivent la fonction du droit criminel autour de la notion de protection de la société. Il y est hypothétiquement suggéré que cette sémantique, souvent sur le ton de l’urgence et de la nécessité, tend à reconduire, au sein même du système, des valeurs d’hostilité nuisant, voire empêchant l’avènement d’un système juridique capable d’apprentissage et d’autocorrection.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".