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Record W2941394133 · doi:10.60082/0829-3929.1320

Regulation and Resistance in Canadian Bingo Halls: A Socio-Legal Account

2018· article· en· W2941394133 on OpenAlexvenueaboutno aff
Kate Bedford

Bibliographic record

VenueJournal of Law and Social Policy · 2018
Typearticle
Languageen
FieldPsychology
TopicGambling Behavior and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsResistance (ecology)SpeculationProfit (economics)HappeningCashSociologyPublic relationsAdvertisingPolitical scienceBusinessEconomicsHistory

Abstract

fetched live from OpenAlex

Bingo is a key lens through which to explore how regulation shapes (or fails to shape) different meanings of gambling, and by extension the different meanings attached to speculation in everyday life. In Canada, bingo is played in a highly distinctive gambling environment that is now being subjected to more standardised rules, often drawn from casinos. In this article, I consider how workers and players in Canadian bingo halls are affected by shifting landscapes of provincial bingo regulation. By exploring smoking bans and new rules on touching cash, I ask: what is happening to bingo and its distinctive player demographic as governments increasingly promote casino forms of play? What can that teach us about the impact of regulation on diverse gambling cultures? In posing these questions, I seek to learn more about how people are interacting with gambling law, in lowly realms rather than big law ones. I argue that the diverse meanings of gambling are under threat from regulatory homogenization, specifically from the spread of rules anchored in large-scale, profit-making play experiences. I hereby suggest that the lower-level regulatory mechanisms that shape gambling forms and places need critical, socio-legal interrogation, attentive to worker and player experiences and accounts of resistance.

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 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.055
GPT teacher head0.394
Teacher spread0.338 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations3
Published2018
Admission routes2
Has abstractyes

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