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Record W2031384270 · doi:10.1037/a0014065

Maternal attributions and child oppositional behavior: A longitudinal study of boys with and without attention-deficit/hyperactivity disorder.

2009· article· en· W2031384270 on OpenAlexaffabout
Charlotte Johnston, Paul Hommersen, Carla M. Seipp

Bibliographic record

VenueJournal of Consulting and Clinical Psychology · 2009
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAttributionPsychologyDevelopmental psychologyAttention deficit hyperactivity disorderIntervention (counseling)Conduct disorderChild rearingLongitudinal studyClinical psychologyPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

The authors examined changes over a 1-year period in mothers' attributions for child behavior and child oppositional behavior among 53 mothers and nonproblem sons and 44 mothers and sons with attention-deficit/hyperactivity disorder (ADHD). Boys averaged 8 years of age (SD = 11 months) at Time 1. Families were primarily of European Canadian cultural background and most were middle to upper middle class. Initial levels of child oppositionality did not predict changes in mothers' attributions over time. However, initial levels of mothers' attributions of oppositional child behavior to internal, stable, and global causes positively predicted child oppositional behavior, controlling for ADHD versus nonproblem status and the child's initial level of oppositional behavior. Although initial levels of overreactive and nonresponsive parenting also positively predicted child oppositional behavior, the contribution of mothers' attributions remained significant even with parenting variables controlled. Results suggest that mothers' attributions of child oppositional behavior to internal, stable, and global causes may contribute to maintenance of child problems over time and that these parenting cognitions have importance as intervention targets.

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 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)0.001
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 score0.016
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.095
GPT teacher head0.453
Teacher spread0.358 · 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 teacher head, 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

Citations66
Published2009
Admission routes2
Has abstractyes

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