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Record W2046389991 · doi:10.4309/jgi.2014.29.10

The mediating effect of depression between superstitious beliefs and problem gambling: a cross-cultural study of Chinese and Caucasians residing in the United States

2014· article· en· W2046389991 on OpenAlexvenueno aff
Jungsun Kim, Mikael Ahlgren, Bo J. Bernhard

Bibliographic record

VenueJournal of Gambling Issues · 2014
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyDepression (economics)Clinical psychologyMoodPath analysis (statistics)Beck Depression InventoryTest (biology)PsychiatryAnxiety

Abstract

fetched live from OpenAlex

The purpose of this study was to address the mediational role of depression in the association between superstitions and problem gambling and to test whether this mediating process is significantly different between Chinese and Caucasian Americans. Eight items assessing superstitious beliefs, the 21-item Beck Depression Inventory-II, and the 20-item South Oaks Gambling Screen (SOGS) were completed by 115 Chinese gamblers and 187 Caucasian gamblers residing in the United States, and the responses between tests and between groups compared. Path analysis results showed that superstitious beliefs had a significant effect on both Chinese and Caucasian gamblers' SOGS scores (i.e., problem gambling symptoms). In both groups, depression played a significant mediating role between the superstitious beliefs variable and the problem gambling variable. Future clinical research might use the findings of this study to develop specific prevention and treatment approaches focusing on a gambler's cognitive bias and negative mood.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.044
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 head0.107
GPT teacher head0.461
Teacher spread0.354 · 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 designObservational
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

Citations2
Published2014
Admission routes1
Has abstractyes

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