A Fresh Approach to Reform? A Policy Analysis of the Development and Implementation of Ontario’s Mental Health and Addictions Strategy
Bibliographic record
Abstract
Background: Open Minds, Healthy Minds, Ontario's Comprehensive Mental Health and Addictions Strategy commits to the transformation of mental health and addictions services for all Ontarians. Objective: We analyzed the formulation and implementation of this Strategy to address the question: What are the prospects for transformative change in Ontario's current approach to mental health and addictions? Methods: Qualitative policy analysis using interpretive description of key documents of the policy process, drawing on policy network and horizontal governance theory. Results: Three features set this policy process apart from previous reform efforts: (1) expansion of the state pluralist network to those outside of health, (2) extension of the policy network approach into the Strategy's implementation stage and (3) the combined presence of political and policy leadership. Conclusions: There is reason for optimism that the approach of the Strategy has increased the prospects for the transformation of Ontario's mental health and addictions system.
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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 | 0.016 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.014 | 0.011 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| 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".