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Record W2166175177 · doi:10.1177/1087054710392541

The Relationship Between ADHD Symptoms and Competence as Reported by Both Self and Others

2011· article· en· W2166175177 on OpenAlex
Yuanyuan Jiang, Charlotte Johnston

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Attention Disorders · 2011
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsPsychologyCompetence (human resources)Clinical psychologyInter-rater reliabilityDevelopmental psychologyRating scaleSocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: This study examines the relative relationships of self- and other-reports of adult ADHD symptoms to important life competencies, and also investigates whether self- and other-reports of ADHD symptoms are differentially associated with interrater differences in reports of competence. METHOD: A total of 91 women completed a self-perception questionnaire assessing competence. Other individuals who knew the women well completed the same questionnaire with regard to the women. The women's ADHD symptoms were also rated by themselves and others. RESULTS: Regressions of self- and other-reports of ADHD symptoms on competence scores suggest that other-reports of ADHD symptoms are more valid than self-reports. Also, correlations between reports of ADHD symptoms and interrater differences in rated competence were consistent with a positive illusory bias among women with high ADHD symptoms. CONCLUSION: Other-reports of ADHD symptoms may be better associated with an individual's competence than self-reports.

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)0.001
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 score0.007
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.056
GPT teacher head0.318
Teacher spread0.262 · 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