An exploration of the physical activity experiences of Northern Aboriginal youth: a community-based participatory research project
Bibliographic record
Abstract
The purpose of this community-based participatory research was to explore the physical activity experiences of Northern Aboriginal youth in Canada. Fourteen Aboriginal youth from the ages of 13–19 years participated in interviews (one-on-one or sharing circles), and participant-generated photo-elicitation sharing circles. Five themes representing their physical activity experiences were identified: (a) encompassing meanings, (b) ‘makes me feel awesome’, (c) connected to the land, (d) better with friends and family, and (e) need for physical activity spaces. Findings suggest that the youth have a broad and encompassing definition of physical activity, and that participation in such activity can have various holistic benefits. Youth shared in-depth insights into the various spaces and community supports that facilitate their physical activity. As well, participants explained how physical activity programming that takes place in the natural environment can support youth in feeling connected to their culture and identities. Findings from this research outline important considerations for enhancing physical activity opportunities among Aboriginal youth. Provided that the voices of Aboriginal youth are relatively absent in the vast physical activity literature, this research makes a significant contribution by sharing their unique experiences.
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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 | 0.012 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".