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Record W7019155513

Explaining the growth of plural policing: comparing the Netherlands and Britain

2010· article· en· W7019155513 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Academic REpository of VU University Amsterdam (Vrije Universiteit Amsterdam) · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsPluralQuarter (Canadian coin)PoliticsSimilarity (geometry)Diversity (politics)
DOInot available

Abstract

fetched live from OpenAlex

The past quarter century has seen a significant growth of interest in 'plural' policing.This relates, in part, to the very substantial expansion of private, predominantly commercial, security guards worldwide that has occurred in recent decades.However, the notion of plural policing also includes a range of other policing authorizers and providers, located within public, private or third sectors (or a mix thereof).Much of the writing on the pluralization of policing has focused primarily on trends in North America.There is a tendency to assume that the nature and degree of changes in policing are similar around the globe.However, research suggests that there are very different patterns of change in various parts of the world.It remains the case that little is known about the specific conditions that shape plural policing, and how these differ between national contexts.This paper explores the growth of plural policing within two EU countries -the Netherlands and Britain.It discusses areas of similarity and difference, and speculates about what factors might explain these.It suggests that changes in the policing systems of both countries can be related to a growing 'formalization' of social control, and to the distinctive political cultures and institutions in each country.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.268
Teacher spread0.244 · 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 designObservational
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

Citations0
Published2010
Admission routes1
Has abstractyes

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