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Record W2767019407 · doi:10.1093/police/pax075

Police Militarization in Canada: Media Rhetoric and Operational Realities

2017· article· en· W2767019407 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePolicing A Journal of Policy and Practice · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsUniversity of WinnipegUniversity of Manitoba
Fundersnot available
KeywordsMilitarizationRhetoricSoftware deploymentPolitical scienceCriminologyLegitimacyPublic administrationLawPublic relationsSociologyPoliticsEngineering

Abstract

fetched live from OpenAlex

Abstract This paper examines police militarization in Canada between 2007 and 2017. We contrast media and police accounts of militarization with special weapons and tactics (SWAT) team deployment records disclosed under freedom of information (FOI) law. Discourse analysis reveals a series of armoured vehicle purchases has been justified by police claims about the danger faced by police officers, and the need to keep police officers and the public safe. Media and police accounts thus suggest militarization is limited. However, our FOI research shows planned and unplanned deployment of SWAT teams have risen in major Canadian cities and are higher in some cases than those reported by Kraska on public police militarization in the USA. After revealing this juxtaposition between media rhetoric and the organization and operational reality of police militarization, we reflect on the implications of police militarization in Canada and the challenges that police may face in communications about armoured vehicle purchases as public awareness of SWAT team use rises and police legitimacy is questioned.

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.

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)0.002
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.002
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 head0.074
GPT teacher head0.405
Teacher spread0.331 · 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