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Record W2757506384 · doi:10.1089/glr2.2017.21812

INTENSITY AND GAMBLING HARMS: EXPLORING BREADTH OF GAMBLING INVOLVEMENT AMONG ESPORTS BETTORS

2017· article· en· W2757506384 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.

fundA Canadian funder is recorded on the work.
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

VenueGaming Law Review · 2017
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
FundersGambling Research Exchange OntarioGaming Technologies AssociationGambleAwareAustralian GovernmentDavid and Elaine Potter Foundation
KeywordsPsychologyAddictionHarmGambling disorderPaymentCashSocial psychologyPsychiatryBusinessFinance

Abstract

fetched live from OpenAlex

The esports betting market remains predominantly unregulated, although regulated sites have begun offering options to wager on these types of events. Previously, esports has been considered a niche market sector with participants differing from traditional sports and race bettors. However, as esports increasingly becomes absorbed into mainstream markets, it is important to understand the comparative similarities and differences in characteristics and behaviours between esport and traditional sports bettors. In particular, with regulators increasingly attempting to reduce use of offshore gambling sites, it is important to determine the extent to which those who bet on esports are more likely to access and engage in unregulated sites and activities. This paper classified and compared the characteristics of 501 Australians reporting participation in both sports and esports (n=160), or only in sports (n=341) bets online in the past month. Measures assessed use of online onshore and offshore sites, factors used to select gambling sites, and perceived advantages/disadvantages of using onshore compared to offshore sites. Findings suggested that the two groups were distinct in several ways; esports bettors were younger, more highly educated, had higher incomes and were represented by a greater proportion of females and individuals from Asian ethnic backgrounds. This group additionally reported starting gambling more recently and frequently overall, and expressed a preference to gamble on illegal offshore sites as opposed to domestically-licensed sites. Sports bettors were more likely to select domestic sites seeking more reliable and safe experiences, in contrast to esports bettors, who were motivated by the gambling experience, regardless of where a site was regulated. Results suggested that sports bettors perceived greater disadvantages of using offshore sites, and that this acted to deter access. In contrast, esports bettors sought a specific experience and were willing to use offshore sites. It is concluded that domestic operators need to provide a competitive online gambling environment and meet customer demands if online gamblers are to be deterred from using offshore sites.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.372
GPT teacher head0.428
Teacher spread0.057 · 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