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Record W1912507282 · doi:10.4309/jgi.2004.12.13

A public health approach for Asian people with problem gambling in foreign countries

2004· article· en· W1912507282 on OpenAlex
Samson Tse, John Wong, Hyeeun Kim

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.

venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Gambling Issues · 2004
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsShamePovertySocioeconomic statusAcculturationImmigrationPublic healthDevelopment economicsPolitical scienceEconomic growthPsychologyMedicineSocial psychologyEnvironmental healthEconomicsPopulation

Abstract

fetched live from OpenAlex

There has been a rapid increase in Asian immigration to English-speaking countries such as New Zealand, Australia, Canada, and the United States. Anecdotal accounts and research suggest high levels of participation in gambling by people from Asian countries. Asian problem gambling is seen as being a social rather than an individual problem compounded by difficulties with post-migration adjustment. Contemporary public health perspectives are not limited to the biological and behavioural dimensions, but can also address socioeconomic determinants such as income, employment, poverty, and access to social and healthcare services related to gambling and health. This paper discusses how a public health viewpoint can lead to effective strategies against problem gambling. The five principles proposed in this paper are: (1) acknowledging similarities and differences within Asian populations, (2) ensuring that strategies are evidence-based, (3) treating Asian problem gambling in an acculturation framework, (4) addressing the issue of shame associated with problem gambling among Asian people, and (5) targeting at-risk sub-groups.

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)0.002
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 score0.212
Threshold uncertainty score0.885

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.292
GPT teacher head0.429
Teacher spread0.138 · 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