Bibliographic record
Abstract
This thesis examines gambling in British Columbia and reviews the failed Seaport Centre casino proposal for downtown Vancouver. The third wave of gambling sweeping across North America started when the state of Nevada re-legalized casinos in 1931, and underwent a major boom with the introduction of the first state lottery this century in New Hampshire in 1964. Since this time, virtually every state and provincial government in North America has introduced some form of legalized gambling. This thesis examines the third wave of gambling, and the rise of the urban casino which began to emerge in the late 1980's and early 1990's. The rise of the urban casino provides policy makers significant urban planning considerations. First, a review is conducted of the literature on gambling, illustrating the new phenomenon in gambling - the urban casino. Second, an analysis and history of gambling in Canada and British Columbia is explored. Third, a case study on the Seaport Centre casino proposal for Vancouver's downtown waterfront is documented, illustrating the issues associated with urban casinos from a planning perspective. The thesis documents the history of gambling in North American society. The current gambling wave sweeping the continent has been described as the third wave of gambling. Driving the most recent wave of gambling has been governments revenue imperative, promotion of gambling interest from business and certain interest groups and consumers demand for gambling games. As casinos moved to the forefront of the gambling explosion, the rise of the urban casino provided complex urban planning considerations. The case study on the Seaport Centre casino proposal for Vancouver provides a good framework for understanding the issues associated with urban casinos, many of which are local in nature. While the Seaport Centre proposal ultimately failed, the comprehensive analysis the City of Vancouver conducted serves as a useful guide for policy makers to understand the issues associated with an urban casino.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.019 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".