Diversity of participation in children with cerebral palsy
Bibliographic record
Abstract
The aim of this study was to investigate the participation of children with cerebral palsy (CP) in activities outside school and to compare their participation with a large representative sample of children. A population-based survey was conducted of children with CP born in Victoria, Australia in 1994 and 1995. Of 219 living children identified, 114 (52.1%) returned completed surveys. The children (65 males, 49 females) were aged between 10 years 9 months and 12 years 9 months (mean age 11y 9mo, SD 6mo). Thirty-eight per cent had hemiplegia, 23% diplegia, 4% triplegia, 34% quadriplegia, and 1% was of unknown topography. Distribution according to the Gross Motor Function Classification System (GMFCS) was 22.8% Level I, 36% Level II, 10.5% Level III, 8.8% Level IV, and 21.9% Level V. Distribution according to the Manual Ability Classification System (MACS) was: 19.3% Level I, 38.6% Level II, 14.0% Level III, 8.8% Level IV, and 19.3% Level V. Participation was measured using the Children's Assessment of Participation and Enjoyment. Participation in selected sport, cultural, and quiet leisure activities was compared with population-based data for 11-year-olds from the Australian Bureau of Statistics. Children with CP undertook a median of 26.5 activities (interquartile range 10) in 4 months which were commonly informal rather than formal. Intensity of participation was low. Diversity and intensity of participation was similar for children in each level of the MACS and the GMFCS, except for participants in Level V. More children with CP participated in organized sports (p<0.001) compared with other Australian children, although with lower frequency (p<0.001). Participation diversity and level of intensity of Australian children with CP were similar to those reported in a Canadian study.
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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 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".