The association among imitation, social, and motor deficits in individuals with asd
Bibliographic record
Abstract
Individuals across the spectrum experience a myriad of challenges that compromise their wellbeing. Challenges include social impairments (e.g., difficulties in peer relationships) and motor impairments (e.g., difficulty with running and writing). In addition to these challenges, they also exhibit an imitation deficit. Imitation plays a role in the development of specific domains (e.g., social and motor ); therefore it may be likely that imitation deficits are associated with social and motor impairments. As such, the purpose of this study was to examine imitation, social and motor impairments among individuals with ASD. It was hypothesized individuals with greater imitation deficits would also have greater social and motor deficits. The imitation, social and motor abilities of 21 children (10 children with ASD and 11 typically developing children ages 7 to 15) were assessed using the Social Reciprocity Scale 2nd Edition, Target Accuracy iPad task, Motor Assessment Battery for Children-2, and the Motor Imitation Task tool. The study revealed a significant relationship in motor functioning and imitation among individuals with ASD; children who exhibited greater motor difficulties also exhibited greater difficulty in imitation. The study provides recommendations for healthcare professionals, educators, and researchers. For example, it is recommended that healthcare professionals assess imitation and motor skills in children suspected to have ASD. It is crucial the relationship between imitation, social and motor functioning continues to be examined so deficits in these domains can be addressed, thus improving the quality of life of individuals across the spectrum.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".