Oskayak Miyoyawin (Youth Wellness) ~ Métis Youth Perspectives on Intergenerational Wellness Reflected through A Research Project Logo
Bibliographic record
Abstract
Intergenerational health and wellness promotion among Métis peoples in Canada is emerging as a priority for Métis communities. Our team is engaged with an intergenerational and lifecourse-oriented program of research on aging well in collaboration with a northern Saskatchewan Métis community (in Canada). We employ a community-engaged participatory action methodology that integrates Métis and Western perspectives through iterative cycles of planning, implementing, and action. Métis perspectives are provided by two Métis community leads and Western perspectives by two non-Métis team leads from the University of Saskatchewan, Canada. Our research program commenced with the development of a program logo which was created by two Métis community youth. We reflect on the intergeneratiaonl health and wellness symbols and significance of this research program logo as our research has progressed. It has become clear that the logo may provide a nascent Métis intergenerational wellness framework that aligns with what we are learning from Métis research participants (young and old). Further, the logo aligns with Indigenous theory and a framework that has informed our original research proposal. In this “advancing the field paper” we introduce the logo and describe its relevance to intergenerational wellbeing among Métis peoples.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".