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Record W7161770892 · doi:10.82308/45655

An examination of psychosocial variables involved in adolescent gambling and high risk behaviors /

2002· dissertation· en· W7161770892 on OpenAlexaboutno aff
Karen Hardoon

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPsychosocialPsychopathologyCognitionAddictionGambling disorderSet (abstract data type)Peer group

Abstract

fetched live from OpenAlex

The current study empirically examined the relations between several risk and protective variables associated with adolescent gambling. More specifically, the relations among self-reported familial, emotional, social, and behavioral variables and youth gambling problems were investigated. The current study also sought to identify risk factors that may be related to youth problem gambling. Participants consisted of 2,336 students in grades 7 to 13 (ages 12 to 19) recruited from various elementary and high schools in the Province of Ontario. Participants completed a questionnaire regarding gambling activities (GAQ), gambling severity (DSM-IV-MR-J), perceived social support (PSS Friend and Family), drug and alcohol dependence (PESQ), and various social, emotional, cognitive, behavioral, and attentional problems (CASS:L). With respect to gambling severity as assessed by the DSM-IV-MR-J gambling screen, 4.9% of adolescents were found to be probable pathological gamblers, and 8.0% at-risk gamblers. The results identified a multitude of problems experienced by problem gamblers. These risk factors for problem gambling include academic difficulties, poor perceived familial and peer social support, cognitive problems, emotional problems, substance use problems, conduct problems, family problems, parental involvement in gambling and substances, and ADHD and related symptoms, particularly inattention. The magnitude of problems and psychopathology that are reported by probable pathological gamblers and at-risk problem gamblers demonstrates that these individuals are experiencing difficulties and are likely using their gambling to escape their problems. The current study also enabled the identification of a set of predictor variables which lead to problem gambling, including having family problems, conduct problems, being addicted to drugs or alcohol, and being male. These findings are interpreted with respect to their implications for the development of risk reduction prevent

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)0.001
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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.074
GPT teacher head0.385
Teacher spread0.312 · 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

Citations0
Published2002
Admission routes1
Has abstractyes

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