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Record W4390080653 · doi:10.1177/14613557231218642

Time to drop the mounted: Reimagining a Royal Canadian Gendarmerie

2023· article· en· W4390080653 on OpenAlex
Chris Madsen

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 Journal of Police Science & Management · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsCanadian Forces College
Fundersnot available
KeywordsScrutinyPublic administrationService (business)Political scienceService memberLawMilitary personnelBusiness

Abstract

fetched live from OpenAlex

As Canada's federal police service celebrates its 150th anniversary, the past and future of the Royal Canadian Mounted Police/Gendarmerie royale du Canada (RCMP/GRC) is coming under intense scrutiny. Dogged by historical legacies and endemic external and internal controversies, this national police service with military characteristics serves the Canadian state loyally and professionally. The anachronistic connection with horses in the English name has long outlived its usefulness and it is time that Canada's federal police service embraced more French, greater inclusivity in the ranks, better accountability and a functional approach to provision of national security policing at higher levels. A new refresh requires rebranding into a truly effective gendarmerie adequately manned, trained and equipped for the task, already anticipated in the French name. Refocusing on federal roles at the national level without the distraction of contract policing would give the RCMP/GRC greater purpose and coherence. The aligned symmetry of a Royal Canadian Gendarmerie/Gendarmerie royale du Canada (RCG/GRC) provides a basis for necessary change to happen and reconciliation to begin.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.729
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.031
GPT teacher head0.399
Teacher spread0.368 · 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