School-Based Physical Activity Levels and Quality of Physical Education Participation Experiences of Children with Physical and Sensory Disabilities Living in British Columbia, Canada
Bibliographic record
Abstract
This mixed-methods study examined school-based physical activity (PA) and the quality of physical education (PE) experiences for children with physical or sensory disabilities. The participants included 10 children (4 girls, 6 boys) with a mean age of 10 years, 5 of whom had sensory disabilities, and 5 of whom had physical disabilities. PA was measured using accelerometry over a 7-day period. Semi-structured interviews explored the children’s experiences in PE classes. Interview data were deductively coded using the Quality Participation Framework to identify examples of autonomy, belongingness, challenge, engagement, mastery, and meaning. On average, children engaged in 17 min per day (standard deviation (SD) = 16) of moderate-to-vigorous-intensity physical activity (MVPA) during school, and 5 min of MVPA (SD = 6) during PE classes. Most children did not meet the provincial policy of 30 min per day of school-based MVPA. Children reported both positive and negative examples of autonomy, belongingness, challenge, engagement, and mastery, and positive experiences of meaning. Overall, children with physical or sensory disabilities accumulate minimal MVPA during school and have mixed-quality participation experiences in PE. These insights can guide efforts to enhance both the quantity of school-based MVPA and the quality of participation in PE for children with disabilities.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".