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Record W2798269777

“Not Just Givers of Welfare”: The Changing Role of the RCMP in the Baffin Region, 1920–1970

2012· article· en· W2798269777 on OpenAlexaboutno aff
Ryan Shackleton

Bibliographic record

VenueNorthern review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)BureaucracyAdmirationWelfareHuman settlementResidencePolitical scienceEconomic growthSociologyGeographyLawPsychologyArchaeologyPoliticsEconomics
DOInot available

Abstract

fetched live from OpenAlex

In the 1920s the Royal Canadian Mounted Police (RCMP) became Canada’s first permanent official presence in the Baffin Region. Until the 1950s the Mounties travelled by dogsled, boat, and on foot delivering a variety of services as well as collecting information on Inuit, animals, and traders for the federal government. Through their exposure to Inuit on the trails and in the small scattered camps, the Mounties developed an admiration and respect for Inuit and their hunting and trapping lifestyle. The RCMP, indeed, became the self-appointed guardians of the Inuit. As the only permanent representatives of the federal government in the region they undertook the work of absentee government departments. Their reports provided Ottawa with one of the few threads of intelligence on the area. However, the RCMP’s diverse set of duties became more narrowly focused and attuned to community policing operations during the 1950s and 1960s when the northern bureaucracy exploded and Inuit took up residence in centralized settlements. The RCMP’s transformation from “giver(s) of welfare” to police officers was mirrored by a similar change in the force’s relationship with, and attitude towards, Inuit. This article explores the changing role of the RCMP in the Baffin region, which was largely complete by 1970.

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)0.004
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.076
Threshold uncertainty score0.553

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.010
Science and technology studies0.0070.010
Scholarly communication0.0050.003
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.027
GPT teacher head0.254
Teacher spread0.227 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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Same venueNorthern reviewSame topicCanadian Identity and HistoryFrench-language works237,207