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Record W3133600087 · doi:10.1177/1087054721997562

Positive Child Personality Factors in Children with ADHD

2021· article· en· W3133600087 on OpenAlexaff
Tasmia Hai, Emma A. Climie

Bibliographic record

VenueJournal of Attention Disorders · 2021
Typearticle
Languageen
FieldMedicine
TopicAttention Deficit Hyperactivity Disorder
Canadian institutionsUniversity of CalgaryUniversity of Alberta
Fundersnot available
KeywordsPsychologySocial skillsProsocial behaviorOptimismSocial competenceDevelopmental psychologyPersonalityPsychological resilienceAttention deficit hyperactivity disorderClinical psychologySocial functioningBig Five personality traitsSocial changeSocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder. While previous studies have shown substantial impact of ADHD across multiple domains, relatively little attention has been devoted to studying positive personality factors in individuals with ADHD. To address this, the current study examined strength-based factors in children with ADHD in relation to their social skills. METHOD: Sixty-four children (aged 8-12 years) with ADHD completed questionnaires related to their social skills and strength-based factors (e.g., optimism, resilience, self-concept, and coping skills). RESULTS: Findings indicated significant differences between different levels of social skills in children with ADHD, with children with higher social skills reporting higher levels of resiliency, greater behavioral competence, and greater prosocial attitudes than those with lower social skills. CONCLUSIONS: The results highlight the importance of fostering strong social skills in children with ADHD, leading them to perceive themselves as competent and resilient.

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 score0.012
Threshold uncertainty score0.578

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 integrity0.0000.001
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 head0.018
GPT teacher head0.291
Teacher spread0.273 · 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
Published2021
Admission routes1
Has abstractyes

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