Quality physical activity experiences for military Veterans with a physical disability: Exploring the relationship among program conditions, elements, and outcomes
Bibliographic record
Abstract
Introduction: In this study, we evaluate the physical activity (PA) participation of Veterans with a physical disability, particularly the role of experiential elements of quality participation in facilitating desired program outcomes. We hypothesized that quality elements would mediate the relationship between quality program conditions and participation outcomes. Methods: Forty-nine Veterans with a physical disability (mean age = 43.61 [SD 8.81] y) completed questionnaires before and after PA event participation, as well as at a 3-month follow-up. Results: Results demonstrated that an indicator of the quality element belongingness mediated the relationship between coach interpersonal skills and two PA indicators (i.e., planning and intentions) after event participation. The same quality indicator also mediated the relationship between coach interpersonal skills and family integration after event participation and at the 3-month follow-up. Discussion: These findings provide preliminary evidence linking quality PA program conditions and elements to PA participation outcomes.
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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 | 0.004 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".