Geographical patterns in the recreation and leisure participation of children and youth with cerebral palsy: A CAPE international collaborative network study
Bibliographic record
Abstract
PURPOSE: To examine geographical variation in the leisure participation of children/youth with cerebral palsy (CP), using Children's Assessment of Participation and Enjoyment (CAPE) data from Australia, Canada (Ontario and Quebec) and the U.S. METHOD: Data from 1076 children/youth ages 6-20 years with CP were included. Analyses examined CAPE diversity scores in activity types as a function of region, age group and Gross Motor Function Classification System (GMFCS) group, controlling for family income, education and child gender. RESULTS: There were only two substantial geographical differences: children/youth from the U.S. took part in the fewest active physical activities; those from Ontario took part in the most self-improvement activities. The youngest age group took part in the most recreational activities, and those in GMFCS level IV/V had the lowest levels of participation in recreational, active physical and self-improvement activities, confirming previous findings. CONCLUSIONS: There were more similarities than differences in participation patterns for the three countries.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".