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 ( R 2 = 21%), where mother’s participation (frequency) had a unique contribution (Δ R 2 = 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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 teacher head, 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".