Kiskenimisowin (self-knowledge): Co-researching Wellbeing With Canadian First Nations Youth Through Participatory Visual Methods
Bibliographic record
Abstract
Indigenous youth represent one of the most marginalized demographics in Canada. As such they must contend with many barriers to wellness that stem from oppression, including historical and ongoing colonization and racism. Developing effective health programming requires innovation and flexibility, especially important when programs take place in diverse Indigenous communities where local needs and cultural practices vary. This article reports the findings of an after-school program in 2014 that blended a participatory visual method of research with Indigenous knowledge, methodologies, and practices to provide sociocultural health programming for youth in a First Nation in southern Saskatchewan, Canada. Engaging with youth to co-research wellbeing through the arts was conceptualized as both research and health promotion. Participatory arts methods created a safe space for youth to express their views of health and wellness issues while developing self-knowledge about their individual and cultural identities.
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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 | 0.021 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.023 | 0.014 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.001 | 0.002 |
| 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".