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Record W2153726905 · doi:10.1375/acri.43.2.356

Policing Indigenous Peoples on Two Colonial Frontiers: Australia's Mounted Police and Canada's North-West Mounted Police

2010· article· en· W2153726905 on OpenAlexaffabout
Amanda Nettelbeck, Russell Smandych

Bibliographic record

VenueAustralian & New Zealand Journal of Criminology · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicAustralian History and Society
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIndigenousColonialismScholarshipLawState (computer science)Punishment (psychology)CriminologyPolitical scienceSociology

Abstract

fetched live from OpenAlex

This article examines the ways in which colonial policing and punishment of Indigenous peoples evolved as an inherent part of the colonial state-building process on the connected 19th century frontiers of south-central Australia and western Canada. Although there has been some excellent historical scholarship on the relationship between Indigenous people, police and the law in colonial settings, there has been little comparative analysis of the broader, cross-national patterns by which Indigenous peoples were made subject to British law, most especially through colonial policing practices. This article compares the roles, as well as the historical reputations, of Australia's mounted police and Canada's North-West Mounted Police (NWMP) in order to argue that these British colonies, being within the ambit of the law as British subjects did not accord Indigenous peoples the rights of protection that status was intended to impart.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.034
Threshold uncertainty score0.246

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0180.008
Scholarly communication0.0020.001
Open science0.0010.005
Research integrity0.0010.002
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 head0.038
GPT teacher head0.320
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), 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

Citations62
Published2010
Admission routes2
Has abstractyes

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