Predictors of Change Over Time in the Activity Participation of Children and Youth With Physical Disabilities
Bibliographic record
Abstract
Little is known about predictors of change over time in the intensity of the leisure and recreational activity participation of children with physical disabilities. This study reports data from 402 children/youth with physical disabilities (216 boys and 186 girls), ages 6 to 15, collected on three occasions over a 3-year period. Latent growth curve modeling was used to determine the significant child, family, and community predictors of change in the intensity of their participation in five types of activities (recreational, active physical, social, skill-based, and self-improvement). Differences in predictors were examined for boys versus girls, and older versus younger children. Significant predictors of change were found only for recreational and active physical activities. The findings indicate that factors associated with change in participation intensity are dependent on the type of activity, and vary as a function of children's sex and age. Implications for research and service delivery are discussed, including the importance of a contextualized, holistic, and developmental approach to intervention.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".