Executive Dysfunction in School-Age Children With ADHD
Bibliographic record
Abstract
OBJECTIVE: The study examined executive function deficits (EFD) in school-age children (7 to 14 years) with ADHD. METHOD: A clinical sample of children diagnosed with ADHD (n = 49) was compared to a population sample (n = 196) on eight executive function (EF) measures. Then, the prevalence of EFD in clinical and non-clinical children was examined at the individual level according to three methods previously applied to define EFD, and a fourth method was included to control for the effect of age on performance. RESULTS: Children with ADHD were significantly more impaired on measures of EF than children without ADHD at the group level. However, only about 50% of children with ADHD were found to have EFD at the individual level, and results appeared relatively robust across methods applied to define EFD. CONCLUSION: As a group, children with ADHD displayed more problems on neuropsychological measures of EF than non-clinical children; at the individual level, there appeared to be heterogeneity in EF impairment.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".