The <scp>M</scp>c<scp>G</scp>urk Effect in Children With Autism and <scp>A</scp>sperger Syndrome
Bibliographic record
Abstract
Children with autism may have difficulties in audiovisual speech perception, which has been linked to speech perception and language development. However, little has been done to examine children with Asperger syndrome as a group on tasks assessing audiovisual speech perception, despite this group's often greater language skills. Samples of children with autism, Asperger syndrome, and Down syndrome, as well as a typically developing sample, were presented with an auditory-only condition, a speech-reading condition, and an audiovisual condition designed to elicit the McGurk effect. Children with autism demonstrated unimodal performance at the same level as the other groups, yet showed a lower rate of the McGurk effect compared with the Asperger, Down and typical samples. These results suggest that children with autism may have unique intermodal speech perception difficulties linked to their representations of speech sounds.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".