Development and Evaluation of a Student-Led Mental Health Promotion Workshop to Address Community Needs for Marginalized Populations in Urban Northern Ontario, Canada
Bibliographic record
Abstract
Background: Compass North is a student-led health outreach initiative in Thunder Bay, Ontario, Canada. A current unmet need in Thunder Bay identified in a previously published community needs assessment is mental health services. Women, youth, senior, Indigenous, and LGBT2-SQ populations were disproportionately affected. In response to these perceived gaps in services, a subcommittee of Compass North developed, delivered, and evaluated mental health workshops.Methods: Affiliations with Shelter House Thunder Bay (SH) and Anishnawbe Mushkiki Thunder Bay Aboriginal Health Access Centre (AM) were established. Six interactive workshops were developed and delivered over eight months. Likert scale-based evaluation surveys gauging workshop participant and presenter satisfaction with content were used. Attendance and return attendance were additional markers of success. Results: A total of 36 participant surveys were completed between both sites. Response rates were 74% and 84% at SH and AM, respectively. Workshop content was well-received by participants and helped address some unmet health education needs. Attendance increased with time at SH.Conclusions: These interactive workshops are one way of addressing unmet community needs in Thunder Bay while maintaining a community presence prior to establishing a fully functional student-run clinic (SRC). They comprise a potentially valuable stage in development of a SRC.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".