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Record W1533748179 · doi:10.7202/1025709ar

State, company, and community relations at the Polaris mine (Nunavut)

2014· article· en· W1533748179 on OpenAlexaffvenueabout
Heather Green

Bibliographic record

VenueÉtudes/Inuit/Studies · 2014
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGovernment (linguistics)Modernization theoryBayArcticState (computer science)Mining industryPolitical scienceThe arcticGeographyArchaeologyOceanographyEngineeringMining engineeringLawGeology

Abstract

fetched live from OpenAlex

Inuit employment in the mining industry has received very little attention from historians, although mining has been in the Arctic since the 1950s. Using the Polaris mine (1982-2002) on Little Cornwallis Island, Nunavut, as a case study, this article focuses on the Canadian government’s shift away from supporting mining developments in the late 1970s to early 1980s, on Inuit employment in the mining industry, and on the difficulties of Inuit from Resolute Bay in obtaining employment at Polaris. Previous to Polaris, the federal government saw Arctic mines, particularly Rankin Inlet (1951-1962) and Nanisivik (1976-2002), as a path to modernisation for the Inuit. However, as these earlier Arctic mines failed in this particular goal, the State became disillusioned and weary of providing financial support by the time Cominco began planning the Polaris mine in 1973. The federal government did not require Cominco to sign a formal agreement for Inuit employment, leaving the company responsible to develop its own hiring agenda. Unfortunately for the people of Resolute Bay, the company agenda did not include hiring locals as a priority, and bypassed and marginalised Resolute Bay Inuit who were keen on working at the mine. As mining has been the largest industry in the Canadian northern economy and is currently growing and beginning new development projects, it is important to understand the historical dynamics between mining companies, the State, and local communities.

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)0.003
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 score0.960
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0190.001
Scholarly communication0.0000.000
Open science0.0000.002
Research integrity0.0000.001
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 head0.087
GPT teacher head0.397
Teacher spread0.310 · 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

Citations29
Published2014
Admission routes3
Has abstractyes

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