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Record W2093379234 · doi:10.1353/cja.2006.0010

Stacking the Odds: A Phenomenological Study of Non-problem Gambling in Later Life

2005· article· en· W2093379234 on OpenAlexaff
Brad Hagen, Gary Nixon, Jason Solowoniuk

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2005
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsPsychologyExploratory researchEntertainmentOddsSocial psychologyVariety (cybernetics)CognitionPsychiatrySociologyLogistic regressionMedicine

Abstract

fetched live from OpenAlex

ABSTRACT The purpose of this exploratory, phenomenological-hermeneutic study was to explore the experience of non-problem gambling by older adults. Twelve older gamblers were identified as non-problem gamblers using two gambling screens and participated in in-depth interviews about their experience of gambling. Two major themes emerged from the interviews: the attractions of gambling and methods to keep gambling in control. Older persons sought out gambling for a variety of reasons: social contact, the food and the excitement, chances to give to charity, chances to have an inexpensive holiday, and the need for a safe way to be “bad”. Participants also described a number of cognitive and behavioural strategies to keep their gambling from becoming a problem. The results of this small exploratory study suggest that gambling is a popular form of social entertainment for older persons, although the main attractions of gambling have little or nothing to do with gambling itself. Older persons also appear to possess numerous strategies to keep gambling from becoming a 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)0.001
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 score0.476
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.054
GPT teacher head0.313
Teacher spread0.259 · 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

Citations39
Published2005
Admission routes1
Has abstractyes

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