Spontaneous gaze selection and following during naturalistic social interactions in school-aged children and adolescents with autism spectrum disorder.
Bibliographic record
Abstract
Using a novel naturalistic paradigm allowing participants the freedom to spontaneously select and follow gaze cues in their environment, this study extends previous research conducted with younger children to determine whether school-age children with autism spectrum disorder (ASD, n = 17) demonstrate abnormal gaze following relative to typically developing (TD, n = 15) children. The participant and experimenter played a series of games, during which the experimenter pseudorandomly averted her gaze toward a social target (person) or a nonsocial target (object). A significant finding was that, relative to TD children, children with ASD were slower to follow the experimenter's gaze relative to the start of the trial (social targets d = -.93 [-1.70, -.16], nonsocial targets d = -1.05 [-1.88, -.20]). When we analyzed the duration of glances to the experimenter, we found that the ASD group made longer glances relative to TD children, but only in the nonsocial target condition (social targets d = .01 [-.68, .71], nonsocial targets d = -.81 [-1.53, -.08]). Other analyses revealed patterns of gaze selection and following that may help interpret the main findings. Despite the differences in the timing of gaze selection and following, the most common type of responder in both groups was one who followed the experimenter's gaze on over half of the trials. This pattern of results argues against a clear deficit in social attention in school-age children with ASD and underscores the importance of measuring both the timing of distinct mechanisms of social attention and the context in which these behaviors occur. (PsycINFO Database Record
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.
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 | 0.003 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".