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Record W4396675712 · doi:10.1177/17488958241249825

‘They don’t do nothing’: Exploring marginalized people who use drugs’ experiences with and expectations of private security officers

2024· article· en· W4396675712 on OpenAlexafffundabout
Rachel Geldart, Carolyn Greene, Marta‐Marika Urbanik, Katharina Maier

Bibliographic record

VenueCriminology & Criminal Justice · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of WinnipegAthabasca UniversityUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNothingPrivate securityPublic relationsSociologyBusinessCriminologyPolitical sciencePublic administration

Abstract

fetched live from OpenAlex

Private security guards are increasingly supplementing public police in the policing of urban parks. In the context of this expansion, little is known about how people who frequent and depend on access to these spaces, such as street-involved people who use drugs, view and experience private security. Drawing upon 30 interviews and ethnographic observations with unhoused, street-involved people who use drugs in a small Canadian city, findings show that participants held largely neutral views of security. Departing from common perceptions of marginalized people's disdain towards the social control enacted by law enforcement actors, participants expected and wanted security officers to actively enhance everyone's safety and well-being. The article concludes with a discussion of the implications of this for security's legitimacy, and recommendations for improving how private security engage communities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.140
GPT teacher head0.367
Teacher spread0.226 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2024
Admission routes3
Has abstractyes

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