Services spécialisés en santé mentale pour les personnes de 60 ans et plus. Étude pilote de l’évaluation du processus
Bibliographic record
Abstract
In Quebec, the Centre de santé et services sociaux (CSSS) Cavendish offers specialized services for the elderly with mental health problems (SSSM 60+) (Nour et al., 2011a). This article describes a targeted segment of the population reached (considering the exclusion criteria, only 50% of the elderly receiving services from the SSSM 60+ were followed). The article presents the model of individual changes relating to services, and explores the psychosocial mediators that influence the efficiency of services. This population experiences various psychosocial problems, the most important being mild to moderate symptoms of depression. Services and interventions by the SSSM 60+ team appear to increase significantly the therapeutic alliance and the feeling of empowerment in this clientele. Prioritizing these two concepts during service delivery appears to be an avenue to consider.
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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 | 0.023 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| 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".