Relations Between Intelligence Index Score Discrepancies and Psychopathology Symptoms in The EDEN Mother-Child Birth Cohort
Bibliographic record
Abstract
The aim of this study was to provide a comprehensive understanding of the potential linkages between intelligence and psychopathology across the full IQ range, while considering both absolute IQ scores and discrepancies between them. We drew data from the EDEN mother-child birth cohort, gathered at two time points: 5.5 and 11.5 years of age. We examined three instruments assessing psychopathology: the Strength and Difficulties Questionnaire, the Child Behavior Checklist, and the Mental Health and Social Inadaptation Assessment for Adolescents. We focused on four distinct scales: internalizing disorder, conduct disorder, social problems, and ADHD symptoms.Our analyses first examined correlations between Full-scale IQ, Verbal IQ, Performance IQ, and psychopathology scores. Subsequently, we explored correlations between absolute and relative verbal-performance IQ discrepancies and psychopathology scores. In general, we found that relations between intelligence index scores and psychopathology scales were generally null or negative (high IQ associated with fewer psychopathology symptoms). Our results do not lend support to the hypothesis that high intelligence or index score discrepancies are risk factors for psychopathology in children and adolescents.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".