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Record W4405184237 · doi:10.1556/2006.2024.00065

Testing the acceptability and feasibility of the lower-risk gambling guidelines in Finland

2024· article· en· W4405184237 on OpenAlex
Jussi Palomäki, Tiina Latvala, Anne H. Salonen, Virve Marionneau, David C. Hodgins, Matthew M. Young, Sari Castrén

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Behavioral Addictions · 2024
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsGreoCarleton UniversityCanadian Centre on Substance Use and AddictionUniversity of Calgary
FundersAlberta Gambling Research Institute, University of CalgaryOntario Ministry of Health and Long-Term CareGovernment of Alberta
KeywordsPsychologyPsychiatryClinical psychology

Abstract

fetched live from OpenAlex

Background: The lower risk gambling guidelines (LRGG) represent an evidence-based collaborative effort to provide clear advice to people on the limits of safe gambling consumption. The guidelines are as follows: 1) Gamble no more than 1% of household income per month; and 2) Gamble no more than 4 days per month; and 3) Avoid regularly gambling at more than 2 types of games. Methods: In an online survey study (N = 778), we evaluated the feasibility and acceptability of the LRGG among different subpopulations in Finland. Results: We found that the guidelines were generally evaluated positively as understandable, sensible, clear, and "just right" in terms of their content. There were some notable differences between subpopulations: Individuals who were at risk of gambling problems evaluated the LRGG more negatively than others, while professionals working in the field of gambling prevention were the most optimistic about the guidelines. Thus, increased level of potentially harmful gambling engagement was linked with a somewhat more pessimistic attitude towards the guidelines. On the other hand, those who had not gambled in the past year viewed the guidelines as too permissive compared with those who had gambled, or those working in gambling prevention. Discussion: Overall, our results show clear differences of opinion between the various subpopulations, which appear to be associated with the individuals' level and nature of gambling experience. We conclude that the LRGG can likely be adopted into wider use in Finland.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.375

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.299
GPT teacher head0.479
Teacher spread0.180 · 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