Participation and enjoyment of leisure activities in school‐aged children with cerebral palsy
Bibliographic record
Abstract
The objective of this study was to characterize participation in leisure activities in children with cerebral palsy (CP) and identify determinants of greater involvement. Ninety-five children of school age (9y 7mo [SD 2y 1mo]) with CP were recruited, and participation was evaluated with the Children's Assessment of Participation and Enjoyment in a subset (67/95; 42 males, 25 females) who could actively participate in completion of the assessment. Most had mild motor dysfunction (Gross Motor Function Classification System: 59% level I, 23% level II, 18% levels III-V) and had a spastic subtype of CP (23 hemiplegia, 17 diplegia, 16 quadriplegia, 11 other). Biomedical, child, family and environmental predictor variables were considered in the analysis. Results demonstrated that these children were actively involved in a wide range of leisure activities and experienced a high level of enjoyment. However, involvement was lower in skill-based and active physical activities as well as community-based activities. Mastery motivation and involvement in rehabilitation services enhanced involvement (intensity and diversity) in particular leisure activities, whereas cognitive and behavioral difficulties, activity limitations, and parental stress were obstacles to participation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".