Oshkibiimaates Wiidoogakewin: A Partnership between Matawa First Nations Management and St. Joseph’s Care Group
Bibliographic record
Abstract
Many Indigenous young people who live in remote northern communities are required to relocate to larger urban centres to pursue their secondary education. These youth have often experienced significant hardships that are exacerbated by the stresses of relocation. When seeking help for these struggles, it can be complicated to navigate complex systems in an unfamiliar city and difficult to engage with services that may not be designed to address these unique needs. The question then becomes: what would happen if those specialized supports were easily accessible and provided in a space where the youth felt safe and valued? A unique program providing holistic and culturally sensitive mental health and substance use services has been developed through a partnership between the Matawa First Nations Management and St. Joseph's Care Group in Thunder Bay, ON. The Oshkibiimaates Wiidoogakewin program has eliminated barriers to accessing service, reduced stigma and met the individual wellness needs of hundreds of students since its inception, with continuous improvements to serve students better. Creativity, flexibility and collaboration are at the heart of this program's success, as well as a shared vision of building a community that helps youth thrive.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 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".