Meeting in the margin: can participatory research address the root causes of Indigenous mental health problems?
Bibliographic record
Abstract
Although Indigenous Peoples represent 5% of the population in Canada, they present higher rates of psychosocial problems including mental health issues and suicide than their non-Indigenous counterparts. They are also over-represented in the youth protection and prison systems. This must be understood within the specific context of the oppression of Indigenous Peoples in Canada through colonization and colonialist policies. To improve Indigenous mental health and wellbeing, the oppression underlying it must be addressed. The objective of this article is to illustrate how we, as mental health researchers, can contribute to this process. Based on Collins' matrix of domination, and bell hooks's space of resistance, an analysis of community-based participatory research and its impacts on helping Indigenous People overcome oppression is offered. Limits of participatory research's contributions to social change are presented. Anti-oppressive participatory research is offered as a promising alternative.
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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 | 0.095 | 0.068 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.028 | 0.039 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".