MétaCan
Menu
Back to cohort
Record W2522548360 · doi:10.1177/1087054716669590

Mothers’ Attributions for Positive and Negative Child Behavior: Associations With Mothers’ ADHD Symptoms

2016· article· en· W2522548360 on OpenAlexafffund
Joanne L. Park, Charlotte Johnston

Bibliographic record

VenueJournal of Attention Disorders · 2016
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchUniversity of British Columbia
KeywordsAttributionPsychologyDevelopmental psychologyAssociation (psychology)Clinical psychologySocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: Previous research has shown that parent attributions for child behavior have important implications on the parent-child relationship. The current study investigates whether mothers' level of ADHD symptoms is associated with their child-responsibility attributions for positive and negative child behavior. METHOD: Seventy-nine mothers of 6- to 11-year-old boys participated in this online study. Mothers completed questionnaires assessing their attributions, their ADHD symptoms, and their child's behavior. RESULTS: All mothers offered more child-responsibility attributions for positive behaviors than for negative behaviors. However, mothers with greater levels of ADHD symptoms did this to a lesser extent, blaming their child relatively more for negative behavior and giving their child relatively less credit for positive behavior. CONCLUSION: This is the first study demonstrating the association between mothers' ADHD symptoms and child-responsibility attributions. It is possible that these relatively more negative attributions could be underlying some of the parenting difficulties reported by parents with ADHD.

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)0.000
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 score0.061
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.303
Teacher spread0.283 · 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

Citations9
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Attention DisordersSame topicAttention Deficit Hyperactivity DisorderFrench-language works237,207