Child Enjoyment and Parental Satisfaction with Autistic Children’s Participation in Active and Sedentary Activity Configurations
Bibliographic record
Abstract
This research used proxy reports and questionnaire-based data to explore characteristics related to participation among autistic children. The research aimed to explore child enjoyment and parental satisfaction in different activity configurations, including active and sedentary pursuits and activities in which children participate alone or in groups. Parents/guardians (n = 100) of autistic children aged 4–15 years completed questionnaire-based assessments of their autistic child’s motor skills, social skills, and characteristics of participation. Regression analyses were completed to elucidate the factors that may contribute to a child’s enjoyment of and parental satisfaction with the child’s participation in the different activity configurations. A strong positive correlation was found between motor and social skills, and for motor and social skills in concert with the different activity configurations. Regression analyses found that the social skills of autistic children were related to participation in most of the activity configurations for both the child’s enjoyment and parental satisfaction in participation. Other results indicated that lower social skills were more strongly related to child enjoyment and parental satisfaction, and that the highest enjoyment and satisfaction scores were found for the sedentary and individual activities. These results reinforce the impact of social skills on participation in various activities, and the need for early intervention to promote skill development among autistic children.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".