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Record W4399615173 · doi:10.1111/capa.12573

Settler colonialism and the administrative state: The transfer of the Government of the Northwest Territories to Yellowknife in 1967

2024· article· en· W4399615173 on OpenAlexafffundabout
Jerald Sabin

Bibliographic record

VenueCanadian Public Administration · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsColonialismIndigenousGovernment (linguistics)State (computer science)Political scienceCorporate governancePublic administrationEconomic historyHistoryLawManagement

Abstract

fetched live from OpenAlex

Abstract In September 1967, the federal government transferred the Government of the Northwest Territories from Ottawa to Yellowknife. While the transfer brought the machinery of government closer to the governed, it also established settler institutions in the homelands of Dene, Métis, and Inuit peoples. Using the tools of administrative history and settler colonial theory, this article reconstructs the transfer using newly released archival papers of NWT Commissioner Stuart Hodgson, who oversaw the transfer and the development of government in the NWT until 1979. It analyzes the role federal public servants played in facilitating settler colonial development in northwestern Canada and, in turn, how that development affected the structure and work of the federal public service in Ottawa. While the transfer entrenched Westminster parliamentary government in the NWT, it also served as a focal point for Indigenous resurgence and resistance that has remade contemporary governance in the territory.

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)0.002
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 score0.063
Threshold uncertainty score0.457

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0170.012
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.273
Teacher spread0.259 · 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

Citations2
Published2024
Admission routes3
Has abstractyes

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