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Record W2126875581 · doi:10.1177/1087054710370935

Executive Dysfunction in School-Age Children With ADHD

2010· article· en· W2126875581 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Attention Disorders · 2010
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersAarhus Universitetshospital
KeywordsPsychologyExecutive functionsExecutive dysfunctionAttention deficit hyperactivity disorderClinical psychologyDevelopmental psychologyCognitionPsychiatryNeuropsychology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.283
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it