All in! The commercial advertising of offshore gambling on television
Bibliographic record
Abstract
There is a paucity of research on the advertising of gambling, especially the intensely marketed Internet poker and blackjack games. This study examines ads that aired on cable television in one Canadian jurisdiction. Using quantitative and qualitative methods, we analyze 64 distinct commercials that aired 904 times over a 6-month period. Our findings show that these ads target audiences along age, gender, and ethnic lines and mobilize celebrities, excitement, and humour as persuasive techniques to promote the view that on-line gambling is an entertainment experience in which skill prevails over luck, winning dominates losing, fantasy overshadows reality, leisure trumps work, and the potential for personal change eclipses the routines of everyday life. We conclude that the e-gambling advertising assemblage, with its high-volume exposure, attractiveness, pervasiveness, and repetitiveness of messaging is now an embedded feature of everyday life that is especially connected to popular sport culture and to the fun ethic of contemporary consumer culture.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".