Emotion recognition in children with Fetal Alcohol Spectrum Disorders
Bibliographic record
Abstract
There is a limited amount of research that examines social-emotional functioning in children with Fetal Alcohol Spectrum Disorder (FASD), and the majority of it relies on parent and teacher reports of social impairments. Because these provide broad measures of social function, they fail to elucidate the underlying specific skills with which this group of children has difficulty. The current study examines emotion-recognition abilities in children with FASD, as it plays a central role in social interaction. Participants were 22 children with diagnosed FASD (ages 8-14), and age- and gender-matched typically developing controls. Tasks included measures of emotion recognition from three nonlinguistic modalities: facial expressions, emotional tone of voice, and body positioning and movement. Participant's parents completed measures of adaptive and behavioral function that were related to children's performance on aspects of emotion recognition. Overall, the results show that children with FASD have more difficulties with emotion recognition than typically developing age-matched peers, but these difficulties may not be clinically significant (e.g., smaller effect size) or may be specific to the age of the individual exhibiting the emotion (i.e., child vs. adult). These results are discussed in the context of previous studies.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".