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Record W2011677293 · doi:10.1177/1087054706289942

Attributional Styles and Psychosocial Functioning of Adults With ADHD

2007· article· en· W2011677293 on OpenAlexaff
Julia J. Rucklidge, Deborah Brown, Susan Crawford, Bonnie J. Kaplan

Bibliographic record

VenueJournal of Attention Disorders · 2007
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of CalgaryAlberta Children's HospitalSouth Health CampusAlberta Health Services
Fundersnot available
KeywordsPsychosocialPsychologyLocus of controlAnxietyClinical psychologyAttributionYoung adultDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: This study investigates attributional styles and psychosocial functioning of men and women with ADHD identified in adulthood to inform practice issues. METHOD: One hundred and eighty adults participate: 52 females with ADHD, 37 males with ADHD, 51 female controls, and 40 male controls are administered questionnaires broadly assessing attributional style and psychosocial functioning. RESULTS: The ADHD groups report more depression and anxiety, greater childhood dissatisfaction, a more external locus of control and lower self-esteem, and being more likely to be classified with a maladaptive attributional style than controls. No specific gender differences are noted in the ADHD groups, although a few overall gender differences emerge, with males reporting lower self-esteem, a more external locus of control, and more dissatisfaction in childhood than females. CONCLUSION: Consistent with other research, ADHD participants, regardless of gender, are struggling significantly with psychosocial functioning.

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)0.004
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.304
Teacher spread0.286 · 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

Citations59
Published2007
Admission routes1
Has abstractyes

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