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Record W7135893069

Interests of the United States and Canada in the Artic

2013· dissertation· sk· W7135893069 on OpenAlexaboutno aff
Žaneta Vargová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2013
Typedissertation
Languagesk
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)ArcticThe arcticState (computer science)Territorial watersBeaufort seaPolitics
DOInot available

Abstract

fetched live from OpenAlex

The Northwest Passage is a potentially navigable seaway in the Arctic that is delimited by the Beaufort Sea in the west and the Buffin Bay in the east. As the Arctic ice cap melts further each year, the Passage may become navigable in the medium term. This brings to light many important questions and problems closely linked to the Passage's legal status. This thesis first maps the different reasons to deal with the problem and focuses on Canada as the state to be potentially most affected by the Passage's use. Canada takes the view, that the Northwest Passage are internal waters and the U.S. and the EU, that it is an international strait. The work probes the approaches to determine the status in compliance with the international law as they were claimed chronologically. However, the work stipulates the legal solution is not the only one imaginable and can even be potentially harmful to Canada. Therefore, the next part of the thesis deals with mapping them. A political solution on the international level is offered arguing that cooperation should be established in the region to safely and peacefully use the potentially navigable Passage. The last way to solve the situation lies in national policies as Canada has historically dealt with the issue internally several times. Some of its efforts have also been...

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.370

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0210.008
Scholarly communication0.0150.003
Open science0.0010.005
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0130.001

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 head0.009
GPT teacher head0.254
Teacher spread0.245 · 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 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

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueDigital Repository (National Repository of Grey Literature)→Same topicArctic and Russian Policy Studies→French-language works237,207→