Promising Practices in Equity and Mental Health: The Immigrant and Refugee Mental Health Project
Bibliographic record
Abstract
This commentary explores the Immigrant and Refugee Mental Health Project at the Centre for Addiction and Mental Health as a promising practice in equity in mental health. The Immigrant and Refugee Mental Health Project is a nationally funded project providing free, accredited, evidence-based online training, tools and resources. It is designed to enhance settlement, social and health sector professionals' knowledge, skills and networks for working with immigrants and refugees. The barriers to services, the social determinants of health and the healthy immigrant effect are referenced as key factors addressed by the project. The commentary discusses key components of the course, such as accessibility, capacity and content. It further discusses some of the innovation and evaluation that are planned as we move forward and explore expansions to the project.
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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 | 0.053 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.021 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.005 | 0.031 |
| Research integrity | 0.019 | 0.027 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".