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Record W4402850870 · doi:10.1177/10575677241282011

The Uniforms of Police Emergency Response Team's: A Research Note

2024· article· en· W4402850870 on OpenAlex
Zachary Towns, Rosemary Ricciardelli, Kevin Cyr

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

VenueInternational Criminal Justice Review · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsRoyal Canadian Mounted PoliceMemorial University of Newfoundland
Fundersnot available
KeywordsCriminologyEmergency responseRapid response teamPolitical scienceSociologyPsychologyLawMedical emergencyMedicine

Abstract

fetched live from OpenAlex

The primary role of Canadian emergency response teams (ERTs) is responding to dangerous, violent, and high-risk calls for service (CFS) as a patrol support unit. To unpack how ERTs are deployed in Canada, most often to support frontline patrol beyond full team deployments, in the current study we rely on survey data from n = 35 critical incident commanders from across Canada and highlight the variations in ERT uniforms when supporting patrol. Jenkins et al. suggested ERTs are used during CFS that are beyond the capabilities of patrol to resolve optimally or deployed to calls that lack patrol resources. In policing generally, the police uniform is central for recognizing the police, symbolizes membership to an organization, and provides officers with the clothing necessary to perform their duties safely. Existing research suggests the color of police uniforms can affect citizens’ perceptions of the police organization generally, and the individual officer specifically. Yet, little empirical research exists to reveal variations in ERT uniforms and why police services rely on their ERTs to assist patrol beyond full team deployments.

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)0.007
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.222
GPT teacher head0.566
Teacher spread0.344 · 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