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Record W2094258354 · doi:10.1207/s15374424jccp3501_6

Mothers' Attributions for Behavior in Nonproblem Boys, Boys With Attention Deficit Hyperactivity Disorder, and Boys With Attention Deficit Hyperactivity Disorder and Oppositional Defiant Behavior

2006· article· en· W2094258354 on OpenAlexaff
Charlotte Johnston, Mandy Chen, Jeneva L. Ohan

Bibliographic record

VenueJournal of Clinical Child & Adolescent Psychology · 2006
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyAttributionAttention deficit hyperactivity disorderDevelopmental psychologyConduct disorderClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

This study compared attributions for child behavior among mothers of 38 nonproblem boys, 26 boys with attention deficit hyperactivity disorder (ADHD), and 25 boys with ADHD and oppositional defiant (OD) behavior. Boys ranged from 7 to 10 years of age. To capture different aspects of mothers' attributions, 2 assessment methods were employed: (a) ratings of the internality, controllability, globality, and stability of causes for written descriptions of child behavior and (b) coding of the types of causal attributions that mothers provided in vivo while watching their own child's behavior. In response to the written descriptions of child behavior, mothers of boys with ADHD/OD rated the causes of oppositional and inattentive-impulsive child behaviors as more stable and global than did mothers of nonproblem boys. In identifying causes of their own child's failure on lab tasks, mothers of boys with ADHD/OD provided more child-negative attributional causes than did mothers of either ADHD only or nonproblem boys. Implications for assessing and understanding attributions in families of children with ADHD and OD are discussed.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.375
Teacher spread0.332 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations53
Published2006
Admission routes1
Has abstractyes

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Same venueJournal of Clinical Child & Adolescent PsychologySame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207