FRAMEWORK FOR ACTION ON MENTAL ILLNESS AND MENTAL HEALTH Recommendations to Health and Social Policy Leaders of Canada for a National Action Plan on Mental Illness and Mental Health
Bibliographic record
Abstract
Founded in 1998, the Canadian Alliance on Mental Illness and Mental Health (CAMIMH) is the largest coali-tion in Canada focused on mental illness, mental health, and addictions. CAMIMH’s membership comprises the major national organizations whose activities span the broad continu-um of mental health. They represent consumers and their families, health care and social service providers, professional associations, and community and research organizations. Together, they constitute a vibrant network of national, provincial, and community-based organizations dedicated to serving the mental health needs of the people of Canada from coast to coast. CAMIMH’s Mission CAMIMH’s mission is to promote and facilitate the development, adoption, and implementation of a national action plan on mental illness and mental health. a To that end, CAMIMH advocates for increased access and improved quality of services and supports for per-sons facing mental illness or mental health obstacles, as well as for an increased focus on best practice men-tal health promotion strategies. CAMIMH adopts a population health perspective, which includes the full continuum of health determinants
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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 | 0.028 | 0.031 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.011 | 0.009 |
| Research integrity | 0.027 | 0.024 |
| Insufficient payload (model declined to judge) | 0.025 | 0.005 |
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".