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Record W1965254200 · doi:10.1037/0893-164x.18.4.398

Adolescent Gambling: Relationships With Parent Gambling and Parenting Practices.

2004· article· en· W1965254200 on OpenAlexaff
Julie Vachon, Frank Vitaro, Brigitte Wanner, Richard E. Tremblay

Bibliographic record

VenuePsychology of Addictive Behaviors · 2004
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversité de MontréalResearch Unit on Children's Psychosocial Maladjustment
Fundersnot available
KeywordsPsychologyImpulsivitySocioeconomic statusDevelopmental psychologyGambling disorderParenting stylesClinical psychologyParental monitoringPsychiatryAddictionPopulationDemography

Abstract

fetched live from OpenAlex

This study explored the possible links between family risk factors (i.e., parent gambling and parenting practices) and adolescent gambling. A community sample of 938 adolescents (496 females and 442 males) completed the South Oaks Gambling Screen Revised for Adolescents (SOGS-RA; K. C. Winters, R. Stinchfield, & J. Fulkerson, 1993b) along with a questionnaire assessing parenting practices. Both parents completed the SOGS (H. R. Lesieur & S. B. Blume, 1987). Results showed that adolescent gambling frequency was related to both parents' gambling frequency and problems. However, adolescent gambling problems were linked only to fathers' severity of gambling problems. Low levels of parental monitoring enhanced adolescents' risk of getting involved in gambling activities and developing related problems. A higher level of inadequate disciplinary practices was also related to greater gambling problems in youth. These links were significant after controlling for socioeconomic status, gender, and impulsivity-hyperactivity problems.

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)0.001
metaresearch head score (Gemma)0.006
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.264
GPT teacher head0.455
Teacher spread0.191 · 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

Citations158
Published2004
Admission routes1
Has abstractyes

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