Early manifestations of unexpected bilingualism in minimally verbal autism
Bibliographic record
Abstract
BACKGROUND: Unexpected bilingualism (UB) in autism, in which children speak languages not spoken in their social environment, has been sporadically reported. UB implies that autistic children can acquire languages in a non-socially interactive way. The early minimally verbal period in autism could be critical for non-interactive language acquisition, given the predominance of non-social interests at that time. However, evidence of language acquisition outside social interaction during this period remains limited and restricted to small case studies. METHODS: Caregivers of 119 autistic, 102 non-autistic clinical, and 75 typically developing (TD) children aged 2-6 years completed a structured questionnaire about their children's language-related interests and use. They were also asked to estimate the relative proportion of each language their children were exposed to in their social environment. UB was operationalized as the use of at least one language not spoken in the child's social environment to name letters and/or numbers. RESULTS: Of the autistic group, 53% were considered minimally verbal. A total of 38.7% of autistic children displayed UB, with autistic children being 4.38 times more likely to show UB than TD children (p < .001). In contrast, the non-autistic clinical children did not differ significantly from TD children. The presence of UB was not associated with the children's expressive language level. Autistic children were 8.28 times more likely than TD children to use a non-dominant language (here English) (p < .001), after controlling for their proportion of social exposure to that language. Non-interactive media were the only sources caregivers reported to explain the presence of UB in autistic children. CONCLUSIONS: Autistic children, even those who are minimally verbal, are less dependent on their social environment for specific aspects of language development. Non-interactive pathways of language acquisition may have a prominent role in early language development in autism.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".