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Record W2120858118 · doi:10.1177/1087054705284245

Peer and Parenting Characteristics of Boys and Girls with Subclinical Attention Problems

2006· article· en· W2120858118 on OpenAlexaff
Nicole E. Rielly, Wendy Craig, Kevin C. H. Parker

Bibliographic record

VenueJournal of Attention Disorders · 2006
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsHotel Dieu HospitalQueen's University
Fundersnot available
KeywordsPsychologySubclinical infectionDevelopmental psychologyClinical psychologyMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This study examines peer and parenting characteristics of 149 boys and girls with and without subclinical attention problems. METHOD: Multivariate analyses showed that children with attention problems had higher levels of negative peer nominations and conflict and betrayal in friendships, and their parents tended to use higher levels of negative parenting characteristics compared to comparison children. Children with subclinical attention problems also reported lower levels of positive friendship qualities, and their parents tended to use lower levels of positive parenting characteristics than comparison children. RESULTS: Beyond normative gender differences (e.g., girls reported higher rates of parental involvement than boys), no significant group by gender interactions were found. CONCLUSION: These findings suggest that both girls and boys who were identified using a subclinical cutoff for attention problems have more difficulties relative to comparison peers across social domains of 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)0.000
metaresearch head score (Gemma)0.003
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.015
GPT teacher head0.271
Teacher spread0.256 · 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

Citations39
Published2006
Admission routes1
Has abstractyes

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