An environmental scan of mental health services for indigenous youth in Canada.
Bibliographic record
Abstract
Background: There is an urgent need for culturally and contextually relevant mental health support for First Nations, Inuit and Métis youth. Objective: Our aim was to identify mental health and wellness services that are currently available to Indigenous youth across Canada. Methodology: As a first step, we conducted a web-based environmental scan of services tailored to Indigenous youth. Specific factors were examined for each program, including organization type and mission, types of services, and who provides services. Results: One hundred and seventeen programs were found, with 54% being non-profits and 34% being on-reserve. Four core features were identified. The first was a strengths-based focus, rather than a pathology/deficit-focus, in programs' vision and mission statements, reflected in words like wellness and resilience. The second (87% of included programs) was the integration of mental health services with a range of other services and supports (e.g., health, employment, housing). The third was the provision of land-based programming (in 34% of programs) such as camps or hunting. Such programs were framed as promoting wellness and healing and strengthening identity. The fourth was the role of community members without formal mental health professional training (in 42% of programs), for example, as youth workers or knowledge keepers. This stems not only from the dearth of specialists in many Indigenous settings, but also a valuing of Indigenous knowledge. Conclusion: These core features in mental health services for Indigenous youth may be promising avenues for communities seeking to strengthen the services they offer to First Nations, Inuit and Métis 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".