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Record W7036204682

Battle for the far north: an analysis of threats to Canadian Arctic sovereignty.

2020· other· en· W7036204682 on OpenAlexaboutno aff

Bibliographic record

VenueIke Skelton Combined Arms Research Library (CARL) Digital Library (US Army Combined Arms Center) · 2020
Typeother
Languageen
FieldEnvironmental Science
TopicEnvironmental DNA in Biodiversity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArcticSovereigntyBattleThe arcticChinaGovernment (linguistics)Perspective (graphical)Maritime boundary
DOInot available

Abstract

fetched live from OpenAlex

In 2019, the Government of Canada released the Arctic and Northern Policy Framework, to include associated International and Safety, Security, and Defence chapters. This new policy represents a shift in perspective towards the Arctic from ‘use it or lose it’ to a ‘soft security’ framework. This study consists of a content analysis of Canadian, Russian, and Chinese Arctic and defense policies, with a view to identifying threats to Canadian Arctic sovereignty and any gaps in existing Canadian Arctic and defense policy. As traditional and emerging threats, Russia and China each present unique challenges to Canadian Arctic sovereignty. A nine ways of seeing analysis was conducted to frame the contemporary Arctic environment, followed by a review of the strengths, weaknesses, opportunities, and threats that influence Canadian Arctic sovereignty is presented to provide recommendations on how Canada can secure its hold on its Arctic territory amidst boundary disputes and increased interest from non-Arctic states.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.659
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.004
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0050.005
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.001

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 head0.028
GPT teacher head0.249
Teacher spread0.221 · 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; both teacher heads agree on what is shown here.

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueIke Skelton Combined Arms Research Library (CARL) Digital Library (US Army Combined Arms Center)Same topicEnvironmental DNA in Biodiversity StudiesFrench-language works237,207