Private security regimes: Conceptualizing the forces that shape the private delivery of security
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
There is as much diversity within the private security industry as there are differences between public and private security providers. Whereas comparisons of the two modes of delivery have kept criminologists and economists fairly busy over the years, internal variations have not attracted the same level of interest. In the current environment, binary classifications such as the public/private security dichotomy might be too generic to capture the broad spectrum of unique security arrangements being adopted by various organizations. The aim of this article is therefore to offer an alternative conceptual framework that can account for the broad range of mechanisms responsible for the diversity of private security arrangements observed in late modern societies. The term ‘security regime’ defines the convergence of internal forces and environmental constraints that determine the conditions under which security is produced and exchanged by an organization. The four key dimensions (focus, risks, utility and constraints) that characterize a specific security regime were identified from interviews conducted with more than 50 security managers. The security regime approach should expand our knowledge of the various causes that facilitate, empower or hinder public–private relationships.
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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 | 0.002 | 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 | 0.001 | 0.011 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it