Help! I need somebody. Help! Not just anybody: An event perspective of the community safety partnership making process in Canada
Bibliographic record
Abstract
Community safety partnerships are becoming an important part of policing and crime prevention in Canada.These types of partnerships have long existed.However, with recent pressures on police services to respond to more complex social issues, alongside scrutiny of policing budgets, increasing attention is being paid to partnership creation.Much has been written about community safety partnerships.This literature, however, largely ignores the transactional phase of partnership-making.This phase is important for understanding how community safety partnerships emerge, develop and sustain themselves.Furthermore, little is written on the Canadian context, despite significant differences in Canadian police organizations and communities compared to the United Kingdom and the United States.The current study seeks to examine the community safety partnership making process through an event perspective.Findings from this study have implications for theories of partnerships, as well as practical implications for partnership making and the organizational structure of policing in Canada.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.074 | 0.023 |
| Scholarly communication | 0.018 | 0.005 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".