Sur quelques visages de la folie à Saint-Jean-de-Dieu au tournant du siècle dernier
Bibliographic record
Abstract
Saint-Jean-de-Dieu Hospital, at the far east end of Montreal, is presented as the ideal site for uncovering the lives of men and women institutionalized for madness in Quebec. Recognized as the largest asylum for the insane in Canada, it housed a clientele not only from Montreal but also from all corners of the province of Quebec, a characteristic that offers, under the same roof, a sample population representative of the entire province. As part of a project involving the history of marginalized populations of Montreal, the authors undertook a systematic, quantitative retrieval of information from almost 10,000 files of patients committed to Saint-Jean-de-Dieu. The quantitative data allowed them to reveal profiles of those institutionalized from the establishment of the asylum in 1873 up to 1921. The correspondence contained in the medical files of about 300 patients, however, made it possible to trace the “faces” of madness. Six broad categories emerged repeatedly: broken relationships, conjugal violence, those considered undesirable, the forgotten, the persecuted, and those committed unjustly.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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".