Exploring Mathematics Difficulties in Children With Fetal Alcohol Spectrum Disorders
Bibliographic record
Abstract
Abstract Fetal alcohol spectrum disorders (FASD) may cause a range of physical, mental, behavioral, and learning problems in children whose mothers consumed alcohol during pregnancy. One area of particular weakness for these children is mathematics, with deficits apparent even in studies that control for many potentially confounding variables and IQ. Deficits related to FASD are evident on many different components of mathematics, from standardized achievement measures to specific mathematics tests, and occur among young children, adolescents, and even adults. Children with FASD tend to have more difficulty with mathematics than with other cognitive areas, and mathematics is most highly correlated with the amount of prenatal alcohol exposure. To determine why math is such a significant area of weakness for children with FASD, research must explore how these children perform on different components of mathematics, the brain areas implicated in their mathematics deficits, the cognitive factors that underlie these deficits, and the profile of strengths and weaknesses of these children. Research also is needed on mathematical skills of preschool children with FASD and how math abilities develop in later years. Finally, studies are imperative on the efficacy of interventions designed to improve the math skills of children with FASD.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".