Évaluation de l’implantation des services de première ligne en santé mentale jeunesse dans Lanaudière
Bibliographic record
Abstract
OBJECTIVE: The province of Quebec has initiated a vast reform of youth mental health services. This article aims at evaluating the first year of the implementation of first-line services in Lanaudière’s two local service networks. METHODOLOGY: A formative and participatory qualitative evaluation was carried out. Data collection was led by 32 key individuals who were engaged in the implementation of these services or who were involved in the decision-making process. Five semi-directed group interviews were carried out with the committees and teams concerned. The information collected is the object of a descriptive, qualitative content analysis. RESULTS: The implementation of first-line services in youth mental health in the Lanaudière region has caused partners to mobilize. This fact was identified by the group as a positive element of the establishment of these services. The decision to go ahead with the implementation of these services in spite of a lack of child and adolescent psychiatrists has strengthened these individuals’ determination. On the other hand, the implementation of these services has been impeded by the lack of human resources, insufficient doctors, and difficulties with the integration of first-line services and child and adolescent psychiatry. CONCLUSION: Despite certain difficulties and differences between the local service networks in the implementation of first-line services in youth mental health, the establishment of these services seems to have caused an evolution in the institutional and clinical culture in Lanaudière.
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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 | 0.020 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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 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".