The perceived effectiveness of the Restaurant Watch program in Vancouver, British Columbia
Bibliographic record
Abstract
Gang violence in British Columbia poses a significant concern for law enforcement agencies and the public. In response to this violence, the Restaurant Watch program, a targeted enforcement strategy that deters unwanted gang-involved patrons from attending participating restaurants, was created and implemented in the city of Vancouver. The current study examined this program and its perceived effectiveness by key stakeholders. Data for this study was collected by conducting semi structured interviews with key stakeholders who enforce and participate in the program. The program’s objectives and operations were explored in the context of the gang landscape in British Columbia. Given that the Restaurant Watch program is unique, the author draws on the findings of other anti-gang deterrent projects, such as the Operation Ceasefire and the London’s Operation Shield, to explain and analyze the program’s objectives and methods. The findings suggest that the program is successful due to three important themes: (1) the impact on public safety; (2) the importance of partnership and open dialogue and; (3) the ability to deter inadmissible patrons from participating establishments.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".