Mino-pimatisiwin: The stories of mentorship
Bibliographic record
Abstract
Initiated in 2010, the Indigenous Youth Mentorship Program (IYMP) is an after-school program, which focuses on living a healthy life through physical activity, healthy eating, relationship building, and culture. The program is overseen by Young Adult Health Leaders (YAHLs) and Indigenous mentors ranging from grades 7-12 who mentor Indigenous mentees (elementary-aged students). This program is designed to improve the wholistic health (emotional, physical, mental, and spiritual) of Indigenous youth through physical activity and games, healthy snacks, and relationship building. My research explored the following questions: how does the mentorship program (IYMP) promote mino-pimatisiwin amongst all levels of participants and how does IYMP help participants live life in a good way wholistically? Using semi-structured interviews as my approach to generate stories and knowledge, I explored how IYMP participants in Thompson, Manitoba lived in mino-pimatisiwin in mentorship and if and how mentorship contributed to living their lives in a good way. Using the interviews as a guide, I worked with the participants, also known as co-researchers, to create two stories: the story of the YAHL and the story of the mentor. A symbol of a blue wapikwani (flower) was created to show the many connections between mentorship, mino-pimatisiwin/mino-bimaadiziwin, and the medicine wheel. I believe that my study contributes to moving forward in reconciliation as I am sharing the stories of Indigenous community members and Indigenous youth. These stories can be shared with the next generation of program participants and can help in reclaiming our Indigenous culture and traditional knowledge systems. The stories and research shared also contribute to moving physical activity program analysis to a wholistic model that honors the participants’ physical, mental, emotional, and spiritual health
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.014 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.006 |
| 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".