Associations of Ethnicity and SES with IQ and Achievement in Spina Bifida Meningomyelocele
Bibliographic record
Abstract
OBJECTIVES: We evaluated whether the phenotypic pattern of higher verbal than nonverbal IQ in children with spina bifida meningomyelocele (SBM) is consistent across subgroups differing in ethnicity and SES. We also explored the relation of cognitive and academic performance. METHODS: Non-Hispanic White (n = 153) and Hispanic (n = 80) children with SBM received the Stanford Binet Test of Intelligence-IV and achievement subtests of the Woodcock-Johnson. Parents completed questionnaires assessing the family environment [socioeconomic status (SES), resources, and educational opportunities]. RESULTS: Multivariate analysis revealed that Hispanic children with lower SES had lower verbal than nonverbal scores. Hispanic children with higher SES and non-Hispanic White children demonstrated the reverse pattern. Verbal and nonverbal IQ interacted to predict reading and math performance. CONCLUSIONS: Lower SES is associated with lower verbal IQ in economically disadvantaged Hispanic children with SBM. Academic achievement is largely correlated with verbal IQ, but children with lower verbal IQ may partially compensate with higher nonverbal ability.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".