Répression au quotidien et régulation punitive en longue durée le cas de la prison de montréal, 1836-1913
Bibliographic record
Abstract
C’est au XIXe siècle qu’on assiste au déploiement de l’« archipel carcéral», l’enfermement devenant la sanction usuelle pour un registre important d’infractions. La prison commune de Montréal constitue la forme la plus représentative de la régulation punitive mise en place au XIXe siècle, et l’analyse globale sommaire de sa clientèle (infraction, durée de la peine, âge et groupe ethnique) permet de saisir la logique opératoire de cet élément et de la situer dans le temps en termes de continuité et de rupture. Malgré l’existence de transformations quant aux infractions ou types de clientèles depuis sa création, la prison est inscrite de façon stable dans la durée: il s’avère que la prison induit l’immobilité d’un espace répressif ouvert à différentes idéologies.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".