The investigation of social competency as related to gross motor skills in children with developmental delays
Bibliographic record
Abstract
The current study examines the relationship between gross motor proficiency and social competency in children with developmental delays (DD). Participants included 36 children from four early intervention centers in Ontario and Quebec. This study examined the nature of the relationship (the magnitude and direction) between social skills, peer relations, and gross motor skills, and then examined these same variables for differences based on the children‟s diagnoses (those diagnosed with Autism Spectrum Disorders (ASD) versus other DD) and age (younger children versus older children). Correlational analyses revealed that overall, gross motor proficiency was positively related to improved social competency for children with ASD. A positive relationship was also found between gross motor proficiency and the number of peer initiations made by children. Children with ASD who have improved gross motor development are more likely to show efficient strategies during play which includes being better able to maintain play activities with peers. Finally, gross motor proficiency was negatively related to conflict resolution strategies, which was thought to be due to increased verbal assertion and controlling manner as a result of increased mobility. The results of this study have direct implications for early intervention for children with ASD as well as those with other DD. Therapies that focus on motor development may not only have a direct impact on self-efficacy and willingness to engage in motor activities, but may also be related to various subcomponents of social competency with peer groups.Keywords: gross motor proficiency, social competency, developmental delay
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".