Participation of Children With Autism During COVID-19: The Role of Maternal Participation
Bibliographic record
Abstract
Background:Little is known about participation during adverse times.Objectives:This study described participation of children with autism aged 6 to 13 during COVID-19 pandemic and examined the extent to which child factors, mother’s own participation, and environmental barriers/supports explain child participation in home and community.Method:A total of 130 mothers completed the Participation and Environment Measure for Children and Youth, the Health Promoting Activities Scale, functional issues checklist, and sociodemographic questionnaire.Results:Children’s participation frequency and involvement were significantly higher at home than in the community. In both settings, mothers desired change in 71% of activities. Multiple regression models indicated that child’s age and mother’s participation frequency significantly explained child’s home involvement (R2 = 21%), where mother’s participation (frequency) had a unique contribution (ΔR2 = 10.4%) at home but not in the community.Conclusion:Findings imply the importance of maternal participation to child’s participation at home and suggest redirecting attention for enhancing family participation as a whole.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 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".