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Record W2077769559 · doi:10.1037/a0013182

Cross-lagged links among gambling, substance use, and delinquency from midadolescence to young adulthood: Additive and moderating effects of common risk factors.

2009· article· en· W2077769559 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePsychology of Addictive Behaviors · 2009
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversité de MontréalResearch Unit on Children's Psychosocial Maladjustment
FundersCanadian Institutes of Health ResearchFonds de Recherche du Québec-Société et Culture
KeywordsPsychologyDisinhibitionPsycINFOJuvenile delinquencyDevelopmental psychologySubstance useInjury preventionSubstance abusePoison controlYoung adultClinical psychologyPsychiatryMEDLINE

Abstract

fetched live from OpenAlex

The authors examined cross-lagged links among gambling, substance use, theft, and violence from midadolescence to young adulthood and whether behavioral disinhibition, deviant peers, and parental supervision as common risk factors explain or moderate those links. In 2 community samples, male Caucasians were assessed for gambling participation and problems with the South Oaks Gambling Screen-Revised for Adolescents (K. C. Winters, R. Stinchfield, & J. Fulkerson, 1993) at age 16 years and the South Oaks Gambling Screen (H. R. Lesieur & S. B. Blume, 1987) at age 23. Other problem behaviors were also assessed both times. Risk factors were measured at age 16. Adolescent substance use was related to subsequent theft and violence but not gambling. Gambling problems were linked to subsequent gambling participation. For adolescents with deviant peers, gambling problems were linked to subsequent theft; this was not the case for adolescents without deviant peers. Only for individuals high on disinhibition did stability of gambling problems resemble moderate stabilities of other problem behaviors. Each risk factor was related to each problem behavior (exception: parenting unrelated to gambling). These risk factors partly explained the cross-lagged links among behaviors and thus may be useful targets of prevention. (PsycINFO Database Record (c) 2009 APA, all rights reserved).

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.046
GPT teacher head0.379
Teacher spread0.334 · 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