MétaCan
Menu
← Back to cohort
Record W4239488784 · doi:10.4324/9781315162645-1

Introduction: Greenland and the international politics of a changing Arctic

2017· book-chapter· en· W4239488784 on OpenAlexaboutno aff
Kristian Søby Kristensen, Jon Rahbek-Clemmensen

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeopoliticsPoliticsPolitical scienceInternational relationsVisionAutonomyLegitimacyArcticGlobalizationThe arcticGeographyPolitical economySociologyOceanographyLawAnthropology

Abstract

fetched live from OpenAlex

Greenland is a subnational entity within the Kingdom of Denmark with extensive autonomy and a path to full independence that occupies a geostrategically important position in an Arctic in flux. Studying Greenland’s international relations sheds light on crucial perspectives that are often overlooked within several academic literatures. For the literature on Arctic politics, it highlights the importance of sub-national actors for the legitimacy and effectiveness of Arctic governance. For the Inuit Studies literature, it highlights that international dynamics, including geopolitics and globalisation, shape local visions and identities. For the paradiplomacy literature, which typically focuses on low politics relations, it introduces a critical case where a subnational region is able to influence high politics relations with the global great powers and use a postcolonial past to carve out an independent space.

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.005
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.295
Teacher spread0.267 · 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
GenreOther

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
Published2017
Admission routes1
Has abstractyes

Explore more

Same topicArctic and Russian Policy Studies→French-language works237,207→