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Coping Strategies Employed by Adolescents with Gambling Problems

2004· article· en· W2155750974 on OpenAlexafffund
Rina Gupta, Jeffrey L. Derevensky, Nancy Marget

Bibliographic record

VenueChild and Adolescent Mental Health · 2004
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCoping (psychology)PsychologyDistractionAddictionClinical psychologyGambling disorderDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: This study explored the relationship between coping styles, gambling behaviours and substance use amongst adolescents. METHOD: Five hundred and eighty-seven students, aged 12 to 17, volunteered to participate and completed all scales. Participants completed a gambling screen (DSM-IV-J), coping scale (CISS), and a questionnaire developed to assess types and patterns of gambling behaviours (GAQ). RESULTS: The results suggest that those youths who gamble excessively exhibit coping styles that are more emotion based, avoidant, and distraction-oriented. CONCLUSIONS: The results suggest a need to teach high-risk youth more effective active coping strategies in order to minimise their potential for engaging in addictive behaviours. Such efforts should form a substantial part of school-based prevention initiatives.

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 score0.034
Threshold uncertainty score0.966

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 head0.050
GPT teacher head0.358
Teacher spread0.308 · 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

Citations69
Published2004
Admission routes2
Has abstractyes

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