First Peoples Wellness Circle and the Indigenous Mental Wellness and Trauma-Informed Specialist Workforce During COVID-19
Bibliographic record
Abstract
Members of the Indigenous mental wellness and trauma-informed specialist workforce - including Mental Wellness Teams (MWTs), Crisis Support Teams (CSTs), the Indian Residential Schools Resolution Health Support Program workforce, and other community-based cultural support workers - are often the primary and urgent care providers for individuals and families in need of culturally safe supports. While fulfilling a critical role, these teams contend with distinct challenges stemming from colonial impacts and health systems that continue to undermine Indigenous mental wellness and cultural traditions of healing. During the COVID-19 pandemic, increasing rates of mental illness and substance use among Indigenous populations strained the already overworked and under-resourced mental wellness workforce. First Peoples Wellness Circle sought out and embraced new approaches for meaningful virtual engagement to sustain and enhance workforce wellness and capacity by facilitating culturally relevant and culturally led connections from coast to coast to coast.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 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".