Analyse descriptive des urgences psychiatriques dans la région du Montréal métropolitain
Bibliographic record
Abstract
In. September 197S1, a research team from the Department of Health Administration of the University of Montreal, completed a research study on psychiatric emergencies financed by the Planning section of Quebec's Ministry of Social Affairs. The purpose of this research was on the one hand, to measure the importance of psychiatric problems in the emergency services of hospital centers in Montreal's metropolitan region (22 institutions) and, on the other hand, to describe the characteristics of patients who have access to these emergency services for the purpose of psychiatric treatment. This article summarizes the first section of this research study. Firstly, the authors explain the problem underlying the study, as well as the objectives pursued. Subsequently, a brief description of the research is made, according to its major methodological features. Finally, in the third section, data relative to the number of psychiatric emergencies and to the distribution of this care demand in Montreal's hospital centers, are presented. A second article will deal with the main characteristics of the psychiatric clientele requiring emergency resources i.e. age, sex, marital status, socio-professional categories, types of emotional distress, profiles of past-utilization of services (etc.).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".