[Bernadette through the ages: An evolving perspective on psychiatric care from institutionalization to alternatives to hospitalization].
Bibliographic record
Abstract
In 1909, 21-year-old Bernadette was hospitalized after the parish priest deemed her to be suffering from "puerperal insanity." She was committed to Saint-Jean-de-Dieu, separated from her newborn and husband, who would send dozens of letters inquiring about her health and longing for the day she could return home. Sadly, that return never happened. This article explores the evolution of psychiatric and mental health practices from the past to the present - and the progress still to be made - by focusing on alternatives to hospitalization. How might Bernadette's care have been managed today? And what could her care pathway look like 50 years from now? Today, the expertise of the Institut universitaire en santé mentale de Montréal (IUSMM) extends beyond its walls, reaching people in their own environments. Bernadette could have received treatment at home, supported by a care team with her husband playing an active role. This article documents current alternatives to hospitalization and links them to the lived experience of a woman who underwent involuntary hospitalization over a century after Bernadette. By examining three distinct eras, we can see not only how far we've come but also the challenges that remain.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".