The rationale for developing a programme of services by and for Indigenous men in a First Nations community
Bibliographic record
Abstract
While mental well-being is recognized as a significant public health priority in numerous Indigenous communities, little work has focused on the mental health needs of Indigenous men. In this article, we describe results from the mixed-methods research used to inform the development of mental wellness programming for boys and men. Quantitative and qualitative data from two studies conducted in Kettle & Stony Point First Nation, an Indigenous community in southern Ontario, Canada, were used to (a) understand factors that contributed to issues of mental health, substance use and violence for men, (b) understand men’s experiences accessing and seeking supports and services, and (c) identify ways to address mental health, substance use and violence among boys and men in the community. We show how results from two studies ignited a group of men to develop a culturally strong and strengths-based programme of services as well as a wellness strategy for boys and men in the community.
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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 | 0.025 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.004 | 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".