Bibliographic record
Abstract
This essay was completed in early April 2020 and begun during the first week of the official pandemic panic in Canada. The world-wide plague caused by the COVID-19 virus precipitated the first global police event presenting an occasion for researchers and scholars to apply existing theory and empirical understanding to extra-ordinary circumstances. Consideration of the politics of the police during the plague reveals a tectonic shift in the world system. The transnational and comparative study of police and policing reveals the contours of the emerging system of world power all the more clearly in a moment of crisis. The pandemic panic presents an historical moment during which, figuratively speaking, policing power crystalizes and can be seen clearly. On the global stage, in response to the pandemic panic authoritarian and totalitarian policing practices are demonstrated alongside those in putative democracies. Emerging and observable practices of rule by law are antithetical to democratic policing in the general social interest, and rule of law rhetoric justifying militarized law enforcement action in many places continues to bring police into further disrepute. The coming era will continue to be a time where, in most places “the strong do what they will, and the weak suffer what they must”—as the ancient historian Thucydides observed in the aftermath of the fratricidal Peloponnesian War more than two millennia ago. The pandemic panic shows in the starkest statistical numbers that, where social justice is achieved, the outcome of the politics of the police is not the command of the sovereign.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.019 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".