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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".