Lifting each other up: decolonizing practices for mental health and suicide prevention through Indigenous youth peer support programming
Bibliographic record
Abstract
First Nations, Métis, and Inuit youth in Canada experience significant mental health disparities, with high rates of psychosocial distress and suicide, particularly among those under 45. Over the past 25 years, efforts have aimed to improve psychological services and suicide prevention for Indigenous communities, but risk – based, symptom – focused approaches have failed to address the broader determinants of Indigenous mental health. Decolonizing methodologies emphasize culturally centered, trauma – informed strategies that promote community strength and political self – determination. This study explores the experiences of nine Indigenous youth facilitators engaged in decolonizing mental health initiatives through YouthCO’s Yúusnewas program in British Columbia. In – depth interviews and reflexive thematic analysis reveal three key themes: promoting cultural continuity, fostering self – love through Indigenous knowledge, and youth leadership development. These findings advocate for strengths – based, culturally focused mental health approaches and highlight the need for counselling psychology to embrace Indigenous knowledge and support Indigenous youth.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".