Narrative Skills of Bilingual Children with Autism Spectrum Disorder
Why this work is in the frame
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Bibliographic record
Abstract
The study investigated how narratives are influenced by both autism spectrum disorder (ASD) and bilingualism. We analyzed the short narratives of school-age Quebec French-speaking children: bilinguals with and without ASD, and monolinguals with and without ASD. Children were given sets of three picture cards depicting a scenario, and were asked to sequence the cards and tell a story. We measured: (1) language production (number of utterances, total number of words), (2) macrostructure (appropriate sequencing of events, number of events mentioned, coherence), (3) microstructure (character introductions, maintenance of referential terms, use of grammatical gender, use of connectives), and (4) evaluative devices (both linguistic and non-linguistic), and mental state terms. With respect to language production, bilinguals produced more utterances than monolinguals, despite having marginally lower receptive vocabulary scores in French. With respect to macrostructure, typically-developing children provided more coherent narratives. No significant differences were found on microstructure or evaluative devices, but evaluative devices were infrequent for all groups. There were no decrements in the narratives of bilingual children relative to monolingual children, both with and without ASD; in fact we found an increased number of utterances in the narratives of bilinguals. The current findings suggest that bilingualism does not negatively affect narrative skills in children with ASD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it