Indigenous Youth Mentorship Program: essential characteristics of a Canadian multi-site community-university partnership with Indigenous communities
Bibliographic record
Abstract
The Indigenous Youth Mentorship Program (IYMP) is a peer-led health promotion program grounded in the teachings of Indigenous scholars. IYMP is delivered as a multi-sited community-university partnership (CUP) with Indigenous communities across Canada for elementary students. A local young adult health leader and high school youth mentors offer students healthy snacks, physical activity games, relationship building activities and traditional cultural teachings. IYMP aims to improve children's health and wellbeing and empower Indigenous youth and communities. The purpose of this descriptive qualitative study was to describe the essential characteristics of this multi-sited CUP as perceived by the IYMP principal investigators (PIs). Key informant interviews were conducted with 5 IYMP PIs (2 Indigenous) and analysed using content analysis. The overarching theme was forming a community of practice (CoP), where people with a common interest share best practices as they interact regularly. Four sub-themes were shared interest for Indigenous health/wellbeing and social justice, relationships, mentorship and taking a decolonizing research approach. The IYMP CoP allowed mentorship to occur across regions. The essential characteristics that made the IYMP CUPs successful could be used to inform other multi-sited CUPs with Indigenous communities. Those with mutual interests in Indigenous health and partnership with Indigenous communities could consider forming a CoP. Within a newly formed CoP, relationships and mentorship can be developed through discussion and activities. It is imperative within the CoP to take a decolonizing approach to research and acknowledge the impact that colonial policies and practices have had on generations of Indigenous peoples.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".