DECOLONIZING AND INDIGENIZING PA FOR INDIGENOUS YOUTH WITH ID
Bibliographic record
Abstract
Systemic social inequities actively harm Indigenous peoples of Canada, leaving them with significantly lower physical and mental health outcomes than non-Indigenous people. Individuals with intellectual disabilities (ID) have few opportunities for physical activity appropriate for their physical and social nuances. When Indigeneity intersects ID, health and social inequities are amplified. This research centralizes the voices of Indigenous communities, extending beyond the academic understandings to ensure needs and solutions are expressed by those who experience the effects first-hand. Strategic comprehension support will maximize input from individuals living at the intersection of Indigeneity (or lack thereof) and ID. Using semi structured individual interviews of guardians guided by interpretive phenomenological analysis, recurring themes highlighting most universal and pressing needs were identified. Physical activity is foundational for mental and physical health, however systemic oppression and social inequities are reflected in physical activity. Sparse recreational programming, equipment, and facility access perpetuate patterns of inactivity which entrench lower health outcomes. Targeted programming can address these gaps by providing culturally relevant opportunities for physical activity that maximize engagement with Indigenous youth with ID. Employing intersectional lens, this study generated new knowledge and perspectives to assist in proceeding with decolonizing and Indigenizing inclusive physical activity and sport opportunities. The breakdown of the experiences and barriers in relation to Indigenous sport opportunities will hopefully encourage targeted sport programming to include meaningful Indigenous cultural practices.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.000 | 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".