III. Organizational Analysis of Deinstitutionalization in a Psychiatric Hospital
Bibliographic record
Abstract
BACKGROUND: Few studies have been conducted of the organizational aspects that impact on the course of psychiatric deinstitutionalization. METHOD: A case study was undertaken of 10 years of deinstitutionalization in a Montreal psychiatric hospital. RESULTS: Deinstitutionalization has forged ahead in the hospital over the past few years, although the course it has taken is not the one initially plotted by its promoters. Care management of deinstitutionalized patients remains under the control of the psychiatric hospital and its physicians. However, the patients' well-being has remained a focus of concern and does not seem to have been detrimentally affected by this development. CONCLUSION: Deinstitutionalization is both a solution to the criticisms levelled at the hospital-psychiatric approach of managing persons with severe and persistent mental disorders and an extremely useful tool in the power struggle among the various stakeholders in mental health services reform. Deinstitutionalization has become unavoidable.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 teacher head, 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".