Determinants of self-care participation of young children with cerebral palsy
Bibliographic record
Abstract
OBJECTIVE: To test a model of child, family and service determinants of self-care participation of children with cerebral palsy (CP), grouped by Gross Motor Function Classification System levels (I-II and III-V). METHODS: Participants were a convenience sample of 429 children (242 males) with CP, aged 18-60 months. Data on impairments and gross motor function were collected by reliable therapists; parents provided information about children's health conditions and adaptive behaviour. Seven months later parents reported on family life and services received. One year after study onset, parents documented children's self-care participation. Data from two groups of children were analysed using structural equation modelling. RESULTS: The model explained a significant proportion of the variance of self-care participation, with higher motor function, fewer health conditions and higher levels of adaptive behaviour being associated with greater self-care participation. CONCLUSION: Supporting children's gross motor function, health and adaptive behaviour may optimize self-care 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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".