Constraints on the growth of private policing: A comparative international analysis
Bibliographic record
Abstract
While much has been written on private security expansion in a few English-speaking industrialized democracies, less is known about why the industry does not develop uniformly around the world. We propose some hypotheses about constraints on private security growth in other settings, based on three comparative case studies in authoritarian states (Russia and Georgia), developing countries (Guyana and Trinidad) and non-‘Anglosphere’ industrialized democracies (continental Europe). In authoritarian states, private policing is more politically sensitive than in democratic states, sometimes resulting in more draconian restrictions on it. In developing societies, despite widespread fear of crime, potential consumers sometimes favour in-house measures over private security firms and electronic devices. In developed democracies, variation in private security growth reflects regulatory, institutional and ideological differences between the Anglosphere and continental Europe. We conclude that constraints on the private security industry’s growth potential are more significant than many scholars have acknowledged.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.010 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".