« Sans honte et sans regret » : Les chemins de traverse entre le pénal et le psychiatrique dans les cas d’aliénation criminelle à Montréal, 1920–1950
Bibliographic record
Abstract
C’est le Dr Daniel Plouffe, psychiatre responsable des cas de transferts de femmes de la Prison des femmes Fullum à l’Hôpital Saint-Jean-de-Dieu et du traitement des hommes internés à l’Hôpital pour aliénés criminels de la Prison de Bordeaux, qui est en charge de l’évaluation des aliénés criminels entre 1920 et 1950. À l’aide des dossiers de patients internés à l’Hôpital Saint-Jean-de-Dieu, cet article propose une analyse des comportements criminels et, surtout, des indices permettant aux nouveaux experts de statuer sur l’état mental de la personne lors du crime. Assauts, vagabondage, prostitution, pyromanie, violence, et vols sont quelques-uns des comportements inscrits au dossier qui ont déclenché le processus judiciaire de mise à l’écart et, par la suite, de psychiatrisation. Ces dossiers serviront à illustrer les lentes mais fructueuses tentatives des médecins légistes et psychiatres qui ont exercé des pressions pour la reconnaissance de ce champ d’expertise où on entend traiter plutôt que punir les criminels mentalement dérangés.
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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".