Multilingualism impacts children's executive function and core autism symptoms
Bibliographic record
Abstract
Autism spectrum disorder (ASD) is associated with marked heterogeneity in executive function (EF) abilities. EF components including inhibition and shifting are related to ASD core symptoms such as perspective taking, social communication, and repetitive behavior. Recent research suggests that multilingualism may have a beneficial impact on EF abilities, especially in children with ASD. However, there remains a lack of comprehensive understanding regarding the relationships between multilingualism, EF, and core symptoms in children with ASD. Here, we examined these associations in 7-12-year-old children with and without ASD (N = 116; 53 ASD, Mean age = 9.94 years). Results suggest that multilingual children have stronger parent-reported inhibition, shifting, and perspective-taking skills than monolingual children. Furthermore, we found a significant interaction between diagnosis and multilingual status on inhibition, such that the effects of multilingualism were stronger for children with ASD than typically developing (TD) children. Finally, we found indirect effects of multilingualism on perspective taking, social communication, and repetitive behaviors mediated by EF skills. These results demonstrate the supportive influences multilingual experience might have on bolstering EF and reducing ASD-related symptoms.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".