MétaCan
Menu
Back to cohort
Record W2084502362 · doi:10.1177/1359104502007002012

Child and Adolescent Gambling Behavior: Current Knowledge

2002· article· en· W2084502362 on OpenAlex
Karen K. Hardoon, Jeffrey L. Derevensky

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.

Bibliographic record

VenueClinical Child Psychology and Psychiatry · 2002
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologyFace (sociological concept)Impulse control disorderPsychiatryGambling disorderDevelopmental psychologyClinical psychologyPathologicalAddictionMedicineSociology

Abstract

fetched live from OpenAlex

The past decade has witnessed a widespread proliferation of gambling venues, increased participation in gambling activities and gambling-related problems, and, as a result, an expansion of research in this area. Research concerned with youth gambling has revealed that children and adolescents are at an increased risk for the development of gambling-related problems. There is a significant amount of evidence that suggests that underage youth are actively participating in both legal and illegal forms of gambling. With increases in the availability and accessibility of gambling activities, the problems that youth gamblers face are likely to increase and/or worsen. The growth of the current generation of youth involvement in gambling has not occurred without personal, social and economic costs. Between 4 and 8% of adolescents report significant pathological or problem patterns of gambling, whereas 10–15% remain at risk for the development of severe 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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.211
GPT teacher head0.490
Teacher spread0.278 · 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