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Record W4381852336 · doi:10.1080/14927713.2023.2224373

“It’s like an adult arcade” – a qualitative examination of Laotian immigrants’ experiences of casino visitation and role of culture

2023· article· en· W4381852336 on OpenAlexvenueno aff
Xingxing Wu

Bibliographic record

VenueLeisure/Loisir · 2023
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPopularityImmigrationQualitative researchPsychologySociologySocial psychologyGeographySocial science

Abstract

fetched live from OpenAlex

Studies have shown that gambling, especially casino gambling, is prevalent among Southeast Asian immigrants in the U.S. And yet, empirical research as to why casino gambling is popular among Laotian immigrants is limited. The purpose of this study was to use a case study to examine reasons why Laotian immigrants participate in casino gambling, and if their culture and immigration history play a role in their casino gambling behavior. Data were collected through individual interviews with 19 participants whose origins were from Laos. The audiotaped interviews were transcribed verbatim, and a phronetic iterative approach was applied to conduct the data analyses. The findings demonstrated several factors may have contributed to the prevalence and popularity of casino gambling among Laotian immigrants – namely, the unique geographic location of Fresno, favorable characters of the casino environment, historical/societal factors and Laotian’s gambling-friendly culture.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score0.501

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 head0.069
GPT teacher head0.407
Teacher spread0.338 · 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 designQualitative
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

Citations1
Published2023
Admission routes1
Has abstractyes

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