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Record W2144735271 · doi:10.4309/jgi.2002.7.1

Online help for problem gambling: Why it is and is not being considered

2002· article· en· W2144735271 on OpenAlexaffvenue
Gerry Cooper, Guy Doucet

Bibliographic record

VenueJournal of Gambling Issues · 2002
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsNortheast Cancer CentreCentre for Addiction and Mental Health
Fundersnot available
KeywordsThe InternetStigma (botany)Internet privacyPsychologyAction (physics)Public relationsPsychiatryPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Despite an increasing prevalence of gambling problems, evidence suggests that most people do not receive help for their problems. The issue of stigma has been cited as a contributing factor. Technological advances have now made it possible for individuals who are concerned about stigma to seek help for their problems without making any personal disclosures. In this way, the inherent advantages of the Internet (privacy, convenience, safety and portability) help to ensure that assistance for problem gamblers is always available and that concerns about stigma are neutralized. Unfortunately, many who might benefit from Internet-based help are unaware of these possibilities, and treatment specialists and other health-care professionals may not direct problem gamblers to these services. This paper considers: 1. What is available to problem gamblers through the Internet? 2. What is known about the efficacy of such services?, and 3. Possible reasons why problem gamblers have not been referred to the Internet by point-of-entry personnel. Implications for future action will be discussed.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.392
GPT teacher head0.458
Teacher spread0.066 · 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.

Study designNot applicable
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

Citations8
Published2002
Admission routes2
Has abstractyes

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