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Record W4297857988 · doi:10.52230/zqcq4120

‘Canada’s Northwest Passage and the Potential for Co-Management'

2022· article· en· W4297857988 on OpenAlexaboutno aff
Nicole Covey

Bibliographic record

VenueJournal of Australian Canadian and Aotearoa New Zealand Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAotearoaIndigenousSovereigntyPosition (finance)Political scienceCorporate governanceStatus quoPublic administrationLawArcticIndigenous rightsGeographyPoliticsManagementOceanographyBusiness

Abstract

fetched live from OpenAlex

The legal status of the Northwest Passage remains contested and as the rate of polar maritime traffic continues to increase, the status quo of 'agreeing to disagree' becomes more tenuous. Canada asserts that the passage is historic internal waters while the United States understands the passage to be an international strait. This article follows the 'sovereignty to the side' thesis and argues that a way Canada can assert its sovereignty and control over the disputed Passage through the creation of a co-management council that would highlight Indigenous knowledge and participation, drawing inspiration from Aotearoa New Zealand’s Whanganui River Council. The proposed Canadian Northwest Passage Maritime Council would have three different bodies (Observatory Body, Advisory Core, and Decision-Making Committee) working together with various levels of authority to help make decisions regarding the management of the Northwest Passage. The proposed Council would not only help to legitimize the Canadian position in the international arena but also demonstrate its commitment to highlighting northern Indigenous voices in Arctic governance and make the Canadian position more favourable.

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)0.003
metaresearch head score (Gemma)0.005
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 score0.062
Threshold uncertainty score0.453

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0300.021
Scholarly communication0.0120.003
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.000

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 head0.025
GPT teacher head0.297
Teacher spread0.272 · 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
Published2022
Admission routes1
Has abstractyes

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