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Record W2768562206

Co-operation or competition? Perceptions and discourses on the role and function of the private security industry in Belgium

2017· article· en· W2768562206 on OpenAlexaboutno aff
Pieter Leloup

Bibliographic record

VenueGhent University Academic Bibliography (Ghent University) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsnot available
Fundersnot available
KeywordsPrivate sectorCompetition (biology)Private securityPerceptionFunction (biology)Quarter (Canadian coin)EnforcementPublic sectorLaw enforcementState (computer science)Political sciencePublic relationsLawPolitical economyLaw and economicsSociologyPublic administrationPsychology
DOInot available

Abstract

fetched live from OpenAlex

Near the last quarter of the twentieth century, the question of an expanding private security sector in Belgium gained more and more attention among several contemporaries and interested parties. Various commentators, despite showing different professional backgrounds, expressed their worries about the expansion of duties of private security personnel and the alleged shifting of the role and function of the private sector in relation to the public police. This long term changing distribution of security through both state and market providers, deserves further attention. Thus, the main purpose of this draft article is to investigate the different interpretations and perceptions of these commentators concerning the (alleged) blurring of public and private policing functions since the interwar period until 1990. It wishes to critically assess the degree to which the growing security industry was either perceived – in a complementary way – as a partner in crime prevention, or more as a competitor involved in what should be exclusive public policing tasks. Drawing extensively on parliamentary discussions, writings of members of law enforcement bodies, social and legal researchers, and so forth, it provides new findings on twentieth-century perceptions and understandings of a phenomena that seemed, for some, obscure and suspicious.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.140
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.033
GPT teacher head0.301
Teacher spread0.268 · 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
Published2017
Admission routes1
Has abstractyes

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