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Record W121971484

Social problem solving in children with fetal alcohol spectrum disorders.

2012· article· en· W121971484 on OpenAlexaff
Sara Stevens, Danielle Major, Joanne Rovet, Gideon Koren, Ellen Fantus, Irena Nulman, Mary Desrocher

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldMedicine
TopicPrenatal Substance Exposure Effects
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsFetal alcoholSocial problem-solvingPsychologySocial skillsDevelopmental psychologyPrenatal alcohol exposureFetal alcohol syndromeSocial information processingFetal Alcohol Spectrum DisorderSocial cognitionInterpersonal communicationClinical psychologyCognitionPsychiatryAlcoholPregnancySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: Children with fetal alcohol spectrum disorders (FASD) show impairments in social functioning. However, the factors underlying these impairments are poorly understood. Recent evidence has shown that social problem solving is a critical component of effective social functioning. OBJECTIVES: The present study sought to examine social information processing as one potential factor contributing to social skills and behavior impairments observed in children with FASD. METHODS: Forty-three children, 20 with FASD (mean age 12.6 years) and 23 typically developing controls (TDC; mean age 12.5 years) were studied. Social information processing was investigated using the Children's Interpersonal Problem Solving task (ChIPS; Shure and Spivack, 1985), which assesses problem solving in response to social dilemmas. RESULTS: Children with FASD produced fewer relevant responses than TDC and their responses belonged to a fewer number of categories. CONCLUSION: Children with FASD show reduced ability in generating solutions for social dilemmas. By understanding this weakness, which may partially explain the social skill deficiencies in FASD, targeted therapies may be designed to improve social functioning following prenatal alcohol exposure.

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 score0.035
Threshold uncertainty score0.528

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 integrity0.0000.000
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 head0.011
GPT teacher head0.223
Teacher spread0.212 · 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

Citations19
Published2012
Admission routes1
Has abstractyes

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