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Record W2132702981 · doi:10.1176/appi.ajp.157.7.1156

Use of Self-Ratings in the Assessment of Symptoms of Attention Deficit Hyperactivity Disorder in Adults

2000· article· en· W2132702981 on OpenAlex

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.

Bibliographic record

VenueAmerican Journal of Psychiatry · 2000
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAttention deficit hyperactivity disorderPsychologyClinical psychologyPsychiatryAttention deficitAttention deficit disorderAudiologyMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The purpose of this research was to determine if adults can provide a true rating of their own childhood and current symptoms of attention deficit hyperactivity disorder (ADHD). METHOD: The authors conducted two studies. In study 1, 50 adult subjects completed a questionnaire assessing their ADHD symptoms in childhood. In addition, a parent of each subject completed a questionnaire rating the subject's childhood ADHD symptoms. In study 2, 100 adult subjects completed a questionnaire rating their own current ADHD symptoms. The subject's partner also completed a questionnaire rating the subject's current ADHD symptoms. The correlation between subject and observer ratings was measured in each study. Inattentive symptoms, hyperactive-impulsive symptoms, and total symptoms were analyzed. RESULTS: Good correlations were found between subject and observer scores in both studies. CONCLUSIONS: The diagnosis of ADHD in adults relies on an accurate recall of childhood behavior and an accurate account of current behavior. The results of this study suggest that adults can give a true account of their childhood and current symptoms of 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.

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 score0.020
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.306
Teacher spread0.294 · 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