What's race got to do with it? A proposed framework to address racism's impacts on child and adolescent mental health in Canada.
Bibliographic record
Abstract
This commentary responds to current events that have highlighted the ways that systemic racism affects a wide variety of health outcomes. We specifically discuss how systemic racism adversely affects the mental health of children and adolescents in a Canadian context and use a structural framework to demonstrate how race is embedded in various Canadian systems and thus affects child and adolescent mental health in both conscious and unconscious ways throughout the lifespan. Experiences of systemic racism affect the mental health of Canadian young people in multiple complex and intersecting ways including access to care, experience of mental health services, and outcomes of care. We currently lack a national best practice framework for mental health professionals that unifies approaches to research, education, and clinical care for young racialized Canadians; in addition, concerted efforts to collect race-based data are lacking. We suggest that a blueprint for improved services for racialized young people in Canada would include: Development of a funded and sustainable research agenda responsive to community expertise, development and implementation of a Canadian Child and Adolescent task force focused on educational strategies on racism and service provision at both the postgraduate and continuing professional development (CPD) levels, and consideration of clinical parameters that improve access to, and experience of, care for Canadian racialized youth.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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".