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Record W4388886541 · doi:10.5040/9798400655531

Gambling in America

2015· book· en· W4388886541 on OpenAlexaboutno aff
William N. Thompson

Bibliographic record

Venuenot available
Typebook
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsEncyclopediaLegislationAdvertisingPolitical scienceMarketingBusinessLaw

Abstract

fetched live from OpenAlex

This one-volume reference provides a comprehensive overview of gambling in the Americas, examining the history, morality, market growth, and economics of the gaming industry. This is the most complete encyclopedia of gambling, covering the industry in great detail including the players, the games, the venues, and the surrounding social issues. Updates in this second edition reveal the impact of technological advances on the games, the growing legislation regulating the industry, and the expanding global footprint of gambling across the world—from Manitoba to Montana. Author William N. Thompson postulates on the impact of gambling on local communities and shows how the U.S. gaming industry is tied to the global market, most notably gaming expansion in Macau and Singapore. The book addresses the various forms of gaming, such as casino-based and online gambling, sports betting, and lotteries. Additional content examines the social issue of problem and pathological gambling and addresses the rehabilitation programs available for the mitigation and treatment of gambling problems.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.058
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0580.016

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 head0.232
GPT teacher head0.445
Teacher spread0.212 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2015
Admission routes1
Has abstractyes

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