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Record W2972323253 · doi:10.1093/ips/olz012

Arctic Security, Territory, Population: Canadian Sovereignty and the International

2019· article· en· W2972323253 on OpenAlexafffundabout
Mark B. Salter

Bibliographic record

VenueInternational Political Sociology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of Ottawa
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSovereigntyArcticPopulationBiopowerGovernmentalitySociologyPolitical scienceInternational relationsPolitical economyLawPoliticsEcology

Abstract

fetched live from OpenAlex

Abstract Canada's policies to assert and maintain sovereignty over the High Arctic illuminate both the analytical leverage and blind spots of Foucault's influential Security, Territory, Population (2007) schema for understanding modern governmentality. Governmental logics of security, sovereignty, and biopolitics are contemporaneous and concomitant. The Arctic case demonstrates clearly that the Canadian state messily uses whatever governmental tools are in its grasp to manage the Inuit and claim territorial sovereignty over the High North. But, the case of Canadian High Arctic policies also illustrates the limitations of Foucault's schema. First, the Security, Territory, Population framework has no theorization of the international. In this article I show the simultaneous implementation of Canadian security-, territorial-, and population-oriented policies over the High Arctic. Next, I present the international catalysts that prompt and condition these polices and their specifically settler-colonial tenor. Finally, in line with the Foucauldian imperative to support the “resurrection of subjugated knowledges” (Foucault 2003, 7), I conclude by offering some of the Inuit ways of resisting and reshaping these policies, proving how the Inuit shaped Canadian Arctic sovereignty as much as Canadian Arctic sovereignty policies shaped the Inuit.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.915
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.310
Teacher spread0.297 · 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 designTheoretical or conceptual
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

Citations7
Published2019
Admission routes3
Has abstractyes

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