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Record W2763175969 · doi:10.1177/1362480617733727

Constraints on the growth of private policing: A comparative international analysis

2017· article· en· W2763175969 on OpenAlexaff
Anne‐Marie Singh, Matthew Light

Bibliographic record

VenueTheoretical Criminology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsUniversity of TorontoToronto Metropolitan University
Fundersnot available
KeywordsAuthoritarianismPrivate securityDeveloping countryDemocracyIdeologyPolitical economyOrganised crimeDeveloped countryDevelopment economicsPolitical scienceEconomicsEconomic growthSociologyPublic administrationPoliticsLaw

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.010
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.126
GPT teacher head0.381
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations14
Published2017
Admission routes1
Has abstractyes

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