Through the Lens of the Youth: Exploring Culturally Relevant Physical Activity with a Northern Aboriginal Community Through Participatory Action Research
Bibliographic record
Abstract
Guided by an overarching participatory action research framework, this research explored physical activity within the sociocultural context of northern Aboriginal communities. I worked in partnership with the Yellowknives Dene First Nation Community Wellness Program in the Northwest Territories, Canada, to develop, implement and evaluate the research. Together, we aimed to: 1) document the community’s perspective of and experience with physical activity through the eyes of the youth; 2) investigate how physical activity is embedded in local and traditional culture; 3) raise consciousness about physical activity in the community; and 4) develop a strategic plan for sustaining new and existing physical activity initiatives. Ultimately, this research highlighted the critical role of culture and traditions in the Dene people’s physical activity experience and more broadly, their health and wellbeing. Moreover, it demonstrated that a participatory action research project is entirely feasible within the capacity of a Master’s thesis, given the appropriate circumstances, partnership, and researcher attitude. This study contributes to the current understanding of physical activity from an Indigenous perspective and provides recommendations for future research, policy, and practice to develop meaningful and effective interventions for chronic disease preventions.
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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 | 0.020 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.026 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| 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".