From a Reactive Police Management to the Management of Protesters? The Police and Anti-Globalization Protests in Canada
Bibliographic record
Abstract
There has been some significant debate over the last decade concerning a purported trend in “Western” public order policing and practices away from a primarily reactive, confrontational and protester dispersal model, to one that is based more within the notion of de-escalation of conflict, entailing intelligence-led policing, mutual communication and negotiated accommodation, i.e. towards the “management” of crowds. The reasons for such a shift have been located variously within a general movement towards a more liberal democratic society in these countries, and the process of social change generally, resulting in an increasing movement from modern to advanced-modern society. Again, the reasons why the police are involved in this developmental change is seen as being due to their relationship with the state, concerns about legitimate action and their operating within an increasingly risk-based society. However, the police themselves are not solely effecting change by responding to external pressure, but also act as agents of change themselves on the basis of police knowledge and lessons learned.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.031 | 0.014 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".