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Record W4307780796 · doi:10.18192/potentia.v13i.6336

An Insecure North?

2022· article· en· W4307780796 on OpenAlexafffundvenueabout
Julian Mattachione

Bibliographic record

VenuePotentia Journal of International Affairs · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsCarleton University
FundersCanadian Armed Forces
KeywordsFraming (construction)ArcticPolitical scienceIndigenousNarrativePopulationPolitical economyCorporate governanceSociologyGeographyEconomics

Abstract

fetched live from OpenAlex

State actors are becoming increasingly interested in the economic potential and security dynamics of the Arctic space as the effects of global climatic change rapidly shape the world’s polar spaces. National governments have responded to these changing dynamics by tailoring their defence policies to reflect what they believe to be the most pressing challenges to their presence in the region. This article asks; how is the north framed and whose voices are reflected in Canadian defence policy? It concludes that the conventional framing of Canada’s north remains deeply influenced by the idealized and imagined narratives of Canadian governance with little inclusion of disparate voices.
 By examining the defence white papers of prime ministers Chretien, Martin, Harper, and Trudeau, this article determines that Canadian Arctic security discourse has increased significantly in the post-Cold War era while the region’s Inuit population remain external to its dialogue. This absence of Indigenous voice in Canadian defence policy reflects an unsustainable Eurocentric viewing of the North that is unable to adequately address the region’s changing dynamics. As such, Canada’s future defence policy must acknowledge the distinct and transnational value of Inuit traditional knowledge to overcome the limitations of conventional trans-Atlantic policy frameworks.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.301
Teacher spread0.287 · 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 designNot applicable
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

Citations0
Published2022
Admission routes4
Has abstractyes

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