Bubbles of Governance: Private Policing and the Law in Canada
Bibliographic record
Abstract
Abstract In the last three decades, the public-private organization of policing in Canada has undergone significant change. It is now common sociological knowledge that there has been formidable growth in private security alongside evolving forms of private governance. These changing social relations have resulted in the prominence of actuarial practices and agents to enforce them. This paper examines how the Canadian socio-legal context affects and is affected by both private security and new, more aggressive, ‘parapolicing’ organizations. We update the state of knowledge on the powers of private security personnel by examiningCriminal Codeprovisions in apost-Charterlegal environment, comparing provincial trespass Acts, and analyzing how one aggressive ‘Law Enforcement Company’ as well as other private security firms, more generally, are both enabled and constrained by these legal provisions.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.021 | 0.018 |
| Scholarly communication | 0.011 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".