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Record W2562237055 · doi:10.24043/isj.264

The Globalization of the Arctic: Negotiating Sovereignty and Building Communities in Svalbard, Norway

2012· article· en· W2562237055 on OpenAlexaffvenue
Adam Grydehøj, Anne Grydehøj, Maria Ackrén

Bibliographic record

VenueIsland Studies Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsNorwegianSovereigntyArcticSettlement (finance)ArchipelagoPolitical scienceNegotiationChinaGeographyPrismCorporate governanceGlobalizationEconomyPolitical economySociologyPoliticsLawOceanographyEconomicsArchaeologyGeology

Abstract

fetched live from OpenAlex

The Arctic archipelago of Svalbard has been under Norwegian sovereignty since 1920 yet remains subject to international law. Until recently, the islands’ only major economic activities were unprofitable Russian and Norwegian funded mining operations aimed at maintaining continuous settlement. Now, however, Norway’s top-down governance of the territory has been complicated by the emergence of economic diversity, multinationalism, and local democracy in the town of Longyearbyen. Simultaneously, China and other states are promoting their Arctic interests by exploiting the preoccupation with Russia that characterizes Norway’s Svalbard policy. By interpreting Svalbard’s local communities through the prism of international relations, this article highlights the practical challenges to creating genuinely international territories.

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)0.004
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.556

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.013
Scholarly communication0.0090.003
Open science0.0010.007
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.347
Teacher spread0.305 · 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

Citations52
Published2012
Admission routes2
Has abstractyes

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