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Record W2137164996 · doi:10.1586/ern.10.146

Aggression in children with attention-deficit/hyperactivity disorder

2010· review· en· W2137164996 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

VenueExpert Review of Neurotherapeutics · 2010
Typereview
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsNova Scotia Health AuthorityDalhousie University
FundersNational Institute of Mental HealthU.S. Public Health Service
KeywordsAggressionAttention deficit hyperactivity disorderPsychologyClinical psychologyConduct disorderDevelopmental psychologyAttention deficitsCognitionPsychiatry

Abstract

fetched live from OpenAlex

Research shows that aggression is an important associated feature of attention-deficit/hyperactivity disorder (ADHD) and is important in understanding the impact of the disorder and its treatment. The occurrence of aggressive behavior in combination with ADHD does not appear to be spurious and the severity and/or presence of aggression and ADHD may significantly impact long-term prognosis. This article defines subtypes of aggression in relation to ADHD, identifies individual differences contributing to aggressive behavior in children with ADHD and discusses selected possible underlying mechanisms of aggression in ADHD, as well as current and emerging treatment approaches. Although aggressive behavior in children with ADHD is common, the reasons for this are not yet well understood. Multidisciplinary research should focus on investigating underlying mechanisms related to aggression in ADHD, as well as the utility of various treatment modalities.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.944
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.049
GPT teacher head0.394
Teacher spread0.345 · 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