MétaCan
Menu
Back to cohort
Record W2415086043 · doi:10.14430/arctic4563

Public Opinion on Canadian Arctic Sovereignty and Security

2016· article· en· W2415086043 on OpenAlexaffvenueabout
Mathieu Landriault

Bibliographic record

VenueARCTIC · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSovereigntyArcticPublic opinionPolitical scienceScholarshipNegotiationGovernment (linguistics)Foreign policyNational securityThe arcticCircumpolar starPublic administrationPublic policyLawPoliticsOceanography

Abstract

fetched live from OpenAlex

Previous research on Canadian Arctic sovereignty and security has focused on governmental actions and policy recommendations. While these studies have produced some fine scholarship on those matters, Canadian public opinion on Arctic issues has been mostly assumed or analyzed on an anecdotal basis. This paper aims to correct this shortcoming by drawing the contours of public preferences on Arctic issues and assessing the impact of government activism on those preferences. An examination of 18 opinion polls conducted between 2006 and 2015 that questioned respondents directly or indirectly on circumpolar affairs concluded that Canadians do not prioritize the Arctic among other national priorities, although they rank it high as a foreign policy and defense priority. Additionally, even though increasing military presence in the Arctic seems at first glance to receive an exceptionally high level of support, a more careful examination of the data suggests that a majority of Canadians supports an approach to Arctic sovereignty that is rooted in compromises and negotiations.

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)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.004
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.050
GPT teacher head0.297
Teacher spread0.247 · 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 designObservational
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

Citations12
Published2016
Admission routes3
Has abstractyes

Explore more

Same venueARCTICSame topicArctic and Russian Policy StudiesFrench-language works237,207