Social perception and cognition in autism
Bibliographic record
Abstract
Autism is a neurodevelopmental condition characterized by social communication differences and repetitive behaviors. Recently, autism research has shifted to reflect the need for individualized, ecologically valid models of social cognition difficulties. This Special Issue brings together innovative studies exploring how autistic individuals perceive and respond to social interactions, using a broad range of methodological approaches including psychophysical experiments, neuroimaging and behavioral measures. Emerging themes include differential processing in individuals on the spectrum in social cognition, social perception, eye contact, emotion regulation/arousal, and interpersonal synchrony. The collection also introduces novel translational approaches, such as using motion synchrony during diagnostic interviews and characterizing individual motor-sensory profiles. Together, the articles in the Special Issue reflect a paradigm shift in autism research from the previous more static views of social difficulties and moving toward a nuanced understanding of heterogeneity, compensation and adaptive potential. This body of work underscores the value of precision approaches to improve social cognition and lays the foundation for inclusive, strengths-based interventions.
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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 | 0.006 | 0.019 |
| Meta-epidemiology (narrow) | 0.005 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.018 | 0.020 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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".