Emotional Understanding in School-Aged Children with Fetal Alcohol Spectrum Disorders: A Promising Target for Intervention
Bibliographic record
Abstract
BACKGROUND: Children with fetal alcohol spectrum disorders (FASD) are at high risk for secondary conditions, including mental health difficulties. Data on both children with typical development and other clinical conditions suggest that limited emotional understanding (EU) raises risk for psychopathology, but little is known about EU in FASD. OBJECTIVES: To determine if EU is a reasonable treatment target for children with FASD. METHODS: 56 children (6-13 years) with FASD completed the Kusche Affective Interview-Revised, a verbal interview measure of EU. RESULTS: Children showed striking delays in EU (2-5 years delay) relative to published normative data, despite mean IQ (IQ=94.56) within normal limits. Individual variability was considerable even after accounting for age and verbal IQ. CONCLUSIONS: Despite variability in individual differences, treatments targeting EU may benefit children with FASD as components within a comprehensive, tailored intervention focused on child self-regulation and caregiver behavior management.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".