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Record W2950999224 · doi:10.14430/arctic68285

When Do Ideas of an Arctic Treaty Become Prominent in Arctic Governance Debates?

2019· article· en· W2950999224 on OpenAlexvenueno aff
Jon Rahbek-Clemmensen

Bibliographic record

VenueARCTIC · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTreatyArcticCorporate governancePolitical sciencePoliticsOpposition (politics)Political economySociologyLawEconomicsEcology

Abstract

fetched live from OpenAlex

As climate change and globalization are opening the Arctic to human activities, the debate about how best to organize Arctic institutions in order to facilitate regional governance has been invigorated. One of the most controversial ideas in this debate has been the notion that a comprehensive treaty should govern the Arctic. Depending on its exact design, such a treaty could radically transform regional decision-making procedures and substantial issue areas. It has been opposed by several regional stakeholders, including most regional states. This article examines how specific factors determine the prominence of the idea of an Arctic treaty in governance debates, and whether it is likely to become a crucial feature in future discussions. It argues that there are multiple ideas concerning the content and purpose of an Arctic treaty. Some of its proponents favor radical transformation of the regional order, while others envision more moderate reforms of existing institutions. It maps how the Arctic treaty debate has developed in four phases from 1970 until today, showing that it has been driven by a combination of functional gaps in the regional institutional setup, changing public political discourses about Arctic governance, and the degree of opposition among regional stakeholders. As some of these factors persist, the Arctic treaty will most likely continue to play a role in regional governance debates. In case of a regional crisis, it can once again become a focal point for discussion.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.048
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.294
Teacher spread0.277 · 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 teacher head, 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

Citations7
Published2019
Admission routes1
Has abstractyes

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