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Record W2185292455 · doi:10.4309/jgi.2015.31.10

Gambling and the Couple: Comparing Gamblers' and Spouses' Views on Family, Marital and Individual Levels

2015· article· en· W2185292455 on OpenAlexvenueno aff
Diana Cunha, Ana Paula Relvas

Bibliographic record

VenueJournal of Gambling Issues · 2015
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPerspective (graphical)Marital relationshipFamily lifeSocial psychologyDevelopmental psychologyClinical psychology

Abstract

fetched live from OpenAlex

This study compares the perspectives of 19 pathological gamblers with those of 13 pathological gamblers' spouses (N = 31) with regard to family (i.e., family functioning and quality of life), marital variables (i.e., dyadic adjustment and marital satisfaction) and individual variables (i.e., congruence, differentiation of the self and psychopathological symptomatology). Regarding individual functioning, the gamblers and spouses presented with psychological symptomatology, as both had values that are typical for emotionally disturbed populations. Moreover, the gamblers showed additional difficulties with regard to congruence. The results show that the gamblers' perspectives on family and marital life were less affected by difficulties, yet this difference was most pronounced in marital life. The primary limitations of the current study are regarding the independence of the subsamples (i.e., the participants were married or had marital life partners but were not couples) and the small sample size. Nevertheless, the current results call into question the ‘truths' that are taken for granted by previous literature (e.g., gambler's perceptions of marital problems) and highlight the challenges that couples' therapists face regarding perspective differences in couples experiencing a gambling problem.

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)0.002
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 score0.104
Threshold uncertainty score0.801

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.598
GPT teacher head0.473
Teacher spread0.125 · 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

Citations11
Published2015
Admission routes1
Has abstractyes

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