Off to the Races: Bill 31 The Horse Racing Regulatory Modernization Act (Liquor, Gaming and Cannabis Control Act And Pari -Mutuel Levy Act Amended)
Bibliographic record
Abstract
The Horse Racing Regulatory Modernization Act, otherwise known as Bill 31, was first introduced to the Manitoba Legislative Assembly in October 2020. This piece of legislation seeks to modernize the regulatory framework for thoroughbred and standardbred horse racing in the province. Its main goal is to switch the regulator for the horse racing industry from the Manitoba Horse Racing Commission (MHRC) to the Liquor, Gaming and Cannabis Authority (LGCA). On its surface, Bill 31 ran a smooth race and successfully crossed the finish line. It received positive support throughout the legislative process, and was granted Royal Assent on May 12, 2021. However, this paper, while examining the bill itself and the discussion that surrounded its journey, will also explore the story underlying this piece of legislation and the motivating factors that got it to the starting gate in the first place. To truly understand the purpose of this Bill and the impact of the amendments contained within – it is necessary to dive into the world of horse racing; survey the current status of the horse racing industry in Manitoba; explore the government’s reliance on, and regulation of, gambling activities; and how regulations are made and regulators appointed. This paper seeks to highlight a number of concerns regarding the government’s complicated relationship with horse racing. Subsequently, this paper will pose a few recommendations on how the government could take steps to improve the transparency and accountability in the legislation and regulation-making process – especially when it comes to handling gambling policy and regulating sports, like horse racing.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".