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Record W2993909270 · doi:10.4309/jgi.2019.43.7

A Review of Sports Wagering: Prevalence, Characteristics of Sports Bettors, and Association with Problem Gambling

2019· review· en· W2993909270 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueJournal of Gambling Issues · 2019
Typereview
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsLeagueHumanitiesLeague tablePsychologyPolitical scienceAdvertisingCriminologyArtBusinessEconomics

Abstract

fetched live from OpenAlex

Given significant technological advances, the U.S. Supreme Court ruling in 2018 permitting U.S. states to offer and regulate sports wagering, and multiple international governments already regulating and licensing sports wagering operators, sports wagering will likely continue to grow exponentially. This expanding landscape of sports wagering may pose public health problems. This literature review provides a description of our current knowledge of sports gambling behaviour among adults, adolescents, and athletes, including prevalence rates and factors associated with problem gambling sports bettors. We highlight new issues that are surfacing, particularly the interaction between online betting, sports viewing, live betting, mobile technology, and sports fantasy gambling. We also address future research directions, including the need for longitudinal studies to clarify factors that contribute to the onset and maintenance of sports-related problem gambling, to examine the impact of major league sports leagues and professional teams that partner with gambling operators and casinos on gambling behaviour, and the need to assess public policy and treatment approaches.RésuméCompte tenu des progrès technologiques importants, de la décision rendue par la Cour suprême des États-Unis en 2018 autorisant les États américains à proposer et à réglementer les paris sportifs et des multiples réglementations gouvernementales internationales les autorisant, les paris sportifs continueront probablement de croître de manière exponentielle. Or, ce domaine de paris sportifs en pleine expansion peut poser des problèmes de santé publique. Cet examen de la littérature contient une description de nos connaissances actuelles sur le comportement au jeu sportif chez les adultes, les adolescents et les athlètes, notamment les taux de prévalence et les facteurs associés aux parieurs sportifs du jeu problématique. Nous mettons en lumière des problèmes émergents, notamment l’interaction entre les paris en ligne, l’écoute de joutes sportives, les paris en direct, la technologie mobile et les jeux de hasard fantastiques. Y sont également abordés l’orientation des recherches futures, notamment la nécessité d’études longitudinales visant à clarifier les facteurs qui contribuent aux débuts et à la poursuite du jeu compulsif lié au sport, un examen de l’impact sur le comportement de jeu des collaborations entre des ligues sportives majeures et des équipes professionnelles et des opérateurs de jeux et des casinos, ainsi que les secteurs d’intérêt concernant les politiques publiques et le traitement.

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)0.002
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: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.642
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.000
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 head0.169
GPT teacher head0.440
Teacher spread0.270 · 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