Bibliographic record
Abstract
Résumé La peine de prison affecte souvent l'entourage familial du condamné ? Faux problème ou vrai question ? Frédéric Mégret nous informe sur les travaux théoriques qui permettent de documenter ce phénomène. L'invisibilité des familles interroge la rationalité pénale : affecter, est-ce punir ? Les familles peuvent être perçues comme composante active du crime, comme victime passive de sa punition ou comme vecteur de sa peine. La prise en compte de l'impact de la peine sur les familles pourrait fonder l'idée de réforme notamment lors de la détermination de la peine ou de l'aménagement de son exécution. Les familles pourraient être la pièce manquante de ce puzzle complexe, un trait d'union permettant de mieux comprendre comment l'individuel et le social sont imbriqués. La question des familles des condamnés est une invitation ouverte à repenser les systèmes de justice pénale.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".