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Record W7001332343

Itching for scratchcards: Problem gambling risks for Ontario baby boomers associated with instant ticket purchasing

2020· dissertation· en· W7001332343 on OpenAlex

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.

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

VenueThe Atrium (University of Guelph) · 2020
Typedissertation
Languageen
FieldArts and Humanities
TopicMemory, History, Trauma, Identity
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasingDenialTicketSample (material)Mental healthNonprobability samplingAddiction
DOInot available

Abstract

fetched live from OpenAlex

A concurrent mixed method approach was used to explore risk factors for problem gambling associated with instant ticket purchase gambling (ITPG) by Ontario baby boomers (BB). In Study 1, a purposive sample of gambling counsellors was interviewed. Questions were guided by Canadian Problem Gambling Index (CPGI) domains. Study 2 involved secondary analysis of CPGI data retrieved from the 2002 Canadian Community Health Survey 1.2 - Mental Health and Well-Being (CCHS 1.2). Three risk factors associated with ITPG were identified: additional gambling involvement, denial of gambling activity, and minimization of spending and financial consequences. Sampling bias in CCHS 1.2 gambling module precluded inferential testing. Available data revealed that ITPG involved 40% of BB in 2002, with at-risk/problem gambling prevalence 10.2%. Amongst problem gamblers, 75% pursued ITPG as one gambling activity. Based on these findings, the hypothesis that ITPG is a risk factor for development and maintenance of problem gambling was generated.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.613
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.064
GPT teacher head0.248
Teacher spread0.184 · 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