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Record W983164686 · doi:10.29173/agora10088

Multilateralism and Arctic Sovereignty: Canada’s Policy Options

2011· article· en· W983164686 on OpenAlexvenueaboutno aff
Andrew Gibson

Bibliographic record

VenueThe Agora Political Science Undergraduate Journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSovereigntyUnited Nations Convention on the Law of the SeaArcticArchipelagoPolitical scienceTreatyMultilateralismLawPower (physics)ConventionInternational tradeGeographyPoliticsEconomicsOceanography

Abstract

fetched live from OpenAlex

This paper will examine Canada’s policy options regarding Canadian sovereignty over the Arctic Ocean, and will recommend a policy of multilateral engagement. Canada claims full sovereignty over the Arctic Archipelago and its surrounding waters, as well as a more limited form of sovereignty in parts of the Arctic Ocean. There is significant strategic, environmental, and economic value to uncontested Canadian control of these waters. However, these claims are not recognized by other states and contravene accepted international rules laid out in the United Nations Convention on the Law of the Sea (UNCLOS). As Canada lacks the infrastructure and military power to effectively assert control of the region, as well as the diplomatic power to make other states recognize Canada’s claim, Canada should abandon its unilateral stance and pursue its claim through existing multilateral options: the UNCLOS and the Arctic Council.

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)0.005
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.101
Threshold uncertainty score0.731

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0160.008
Scholarly communication0.0130.004
Open science0.0020.005
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0090.000

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 head0.046
GPT teacher head0.317
Teacher spread0.270 · 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 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
Published2011
Admission routes2
Has abstractyes

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