The Mental Health Commission of Canada: the first five years
Bibliographic record
Abstract
Purpose This paper aims to examine the progress of the Mental Health Commission of Canada (MHCC) over the first five years of its existence toward stated goals while existing outside the constitutional framework of health care funding. Design/methodology/approach The paper is a review of the outputs of the MHCC with emphasis on its first‐ever mental health strategy for Canada, knowledge exchange network, anti‐stigma initiatives, randomized controlled trial of housing‐first initiatives for the homeless mentally ill, as well as other completed projects. Findings Consultation and collaboration are essential aspects of working successfully with people with lived experience of mental illness, their families, health professionals, and governments. At the same time, when expectations are high, needs are great, and opinions are varied, disappointment and frustration are inevitable. Research limitations/implications Although the MHCC initiatives include the largest single funded research project in mental health in Canadian history, and evaluation is built into other initiatives, the political dimension of its work does not lend itself to research evaluation. Practical implications The creation of an organization outside the constitutional framework of health care funding may allow for a catalytic role in precipitating change. Social implications The emphasis on anti‐stigma campaigns targeted at defined populations (youth, health professionals, workforce, journalists) may combat the discrimination people with mental illnesses and their families experience. Originality/value The paper shows that the Canadian experience is, to date, largely undescribed in the peer‐reviewed literature and may influence other jurisdictions. One of its interventions is already being replicated internationally.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".