Characterizing socially supportive environments relating to physical activity participation for young people with physical disabilities
Bibliographic record
Abstract
PURPOSE: To explore the experiences of young people with physical disabilities relating to social inclusion and physical activity, in order to describe the characteristics of social environments that support participation in physical activity. METHOD: An iterative, qualitative design employed in-depth, semi-structured interviews with young people with physical disabilities aged 12-18 (n = 11). Data were analyzed using interpretive thematic analysis. RESULTS: Young people described several ways that their social environments help motivate and support them in their physical activity participation. These include providing: fair and equitable participation beyond physical accommodations; belonging through teamwork; and socially supported independence. CONCLUSIONS: Supportive social environments characterized by equitable participation, a sense of belonging, and opportunities for interdependence, play a critical role in promoting the health and well-being of young people with physical disabilities. These characteristics are important to consider in the design of both integrated and dedicated physical activity programs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".