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Record W3156633249 · doi:10.3138/jcs.2020-0018

“Consolidation and Control of All Eskimo Income”: The Motive for the 1953 High Arctic Relocation

2021· article· en· W3156633249 on OpenAlexvenueaboutno aff
Janice Cavell

Bibliographic record

VenueJournal of Canadian Studies · 2021
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsRelocationGovernment (linguistics)Consolidation (business)SovereigntyArcticWelfarePolitical scienceEconomyPolitical economySociologyLawEconomicsPoliticsFinance

Abstract

fetched live from OpenAlex

In 1953, the Canadian government relocated Inuit from northern Quebec and Baffin Island to the High Arctic. Some secondary accounts identify sovereignty worries as the government’s key motive, arguing that for decades, Ottawa bureaucrats had seen Inuit resettlement on uninhabited islands as an effective way to bolster Canada’s territorial claim. Others deny that sovereignty played any significant role. Writers in the latter group insist that a longstanding concern for Inuit welfare was the real reason for the 1953 move. This article offers a third explanation. It demonstrates that in the 1920s, civil servants opposed relocations, while the Hudson’s Bay Company favoured them. In the 1930s, some relocations by the company were allowed, but during the next decade Ottawa again imposed restrictions. Then in 1949 the northern fur economy collapsed, and the need for government relief increased. Between 1949 and 1953, bureaucrats became preoccupied with the perceived need to ensure that in future Inuit would follow southern ideals of personal thrift, saving enough to carry them through hard times. The major aim of the resettlement was to place a test group in an isolated location where government representatives could control the use of their income and impose approved patterns of economic behaviour.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.769
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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

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 head0.056
GPT teacher head0.372
Teacher spread0.316 · 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 teacher head, not a consensus.

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

Citations1
Published2021
Admission routes2
Has abstractyes

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