Exploring Caregiver Perspectives of Social and Motor Skills in Children With Autism Spectrum Disorder and the Impact on Participation
Bibliographic record
Abstract
Participation is a key aspect of quality of life, and is essential for children’s well-being, yet children with disabilities are at risk for lower participation in social activities. For children with Autism Spectrum Disorder (ASD), social skills may present a significant obstacle for participation in activities of daily life; however, motor skill development may also serve an important contributing factor. Nevertheless, the link between social and motor skills in children with ASD is not fully understood. The current research implemented semi-structured interviews to garner descriptive insights from caregivers (N = 17) into the social and motor skills of 5- to 9-year-old children with ASD, and the impact on participation in social activities. A constant comparative method was used to generate a coherent and thematic representation of caregivers’ experiences. Thematic analysis revealed core consistencies in three areas: (1) Caregivers viewed participation differently than their children; (2) Participation levels of children with ASD are context specific; (3) Challenges with social skills were perceived to present a greater obstacle to participation than motor skills. Overall, the notion that ASD is a heterogeneous disorder was made very apparent. Although caregivers believe there to be immense value in current treatment and intervention options, the availability and access to such options was a major barrier. The effectiveness of intervention programming designed to increase participation is contingent on understanding factors that affect participation. Implications concerning caregivers’ perspectives are discussed.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".