MétaCan
Menu
Back to cohort
Record W3173863279 · doi:10.1016/s2468-2667(21)00098-0

A public health approach to gambling regulation: countering powerful influences

2021· review· en· W3173863279 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Lancet Public Health · 2021
Typereview
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsConcordia University
FundersNatural Environment Research CouncilPublic Health AgencyEngineering and Physical Sciences Research CouncilNational Institute for Health and Care ResearchHealth and Care Research WalesCancer Research UKHealth FoundationBritish Heart FoundationWellcome TrustEconomic and Social Research CouncilWorld Health Organization
KeywordsPublic healthCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PsychologyMEDLINE2019-20 coronavirus outbreakPolitical scienceEnvironmental healthCriminologyMedicineVirologyLawNursingDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Often portrayed as a harmless leisure activity in the UK, gambling is being increasingly recognised as a public health concern. However, a gambling policy system that explicitly tackles public health concerns and confronts the dependencies and conflicts of interest that undermine the public good is absent in the UK. Although there is a window of opportunity to change the gambling policy system, with the UK Government's launch of a review of the Gambling Act 2005, the adoption of a comprehensive and meaningful public health approach is not guaranteed. Too often, government policy has employed discourses that align more closely with those of the gambling industry than with those of the individuals, families, and communities affected by the harms of gambling. In view of the well described commercial determinants of health and corporate behaviour, an immense effort will be needed to shift the gambling discourse to protect public health. In this Viewpoint, we seek to advance this agenda by identifying elements that need challenging and stimulating debate.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.971
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.689
GPT teacher head0.531
Teacher spread0.158 · 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