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Record W2153891412 · doi:10.1080/10550490490483044

Characteristics of Tobacco‐Smoking Problem Gamblers Calling a Gambling Helpline

2004· article· en· W2153891412 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.

Bibliographic record

VenueAmerican Journal on Addictions · 2004
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsGreo
FundersNational Institute on Drug AbuseNational Institute on Alcohol Abuse and Alcoholism
KeywordsHelplinePsychiatryPsychologyGambling disorderSmoking cessationDepression (economics)Mental healthAddictionTobacco useQuit smokingClinical psychologyEnvironmental healthMedicinePopulation

Abstract

fetched live from OpenAlex

Few studies have examined the smoking behaviors of problem gamblers. A high proportion of problem gamblers calling a gambling helpline reported daily tobacco smoking (43.1%). Problem gamblers reporting daily tobacco smoking more frequently acknowledged depression and suicidality secondary to gambling, gambling-related arrests, alcohol and drug use problems, mental health treatment, and problems with casino slot machine gambling. The findings substantiate the relationship in problem gamblers between tobacco smoking and psychiatric symptomatology, particularly other substance use problems. The high proportion of callers reporting daily tobacco smoking highlights the need for enhanced smoking cessation efforts in problem gamblers.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.059
GPT teacher head0.366
Teacher spread0.307 · 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