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Record W2612985211

How to Improve Arctic International Governance

2016· article· en· W2612985211 on OpenAlexaff
Timo Koivurova

Bibliographic record

VenueLaCRIS (University of Lapland) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsCorporate governanceArcticThe arcticBusinessOceanographyGeologyFinance
DOInot available

Abstract

fetched live from OpenAlex

European Parliament Resolution of 9 October 2008 on Arctic Governance, 2010 O.J. (C 9) 41, 43 ("Suggests that the Commission should be prepared to pursue the opening of international negotiations designed to lead to the adoption of an international treaty for the protection of the Arctic, having as its inspiration the Antarctic Treaty, as supplemented by the Madrid Protocol signed in 1991, but respecting the fundamental difference represented by the populated nature of the Arctic and the consequent rights and needs of the peoples and nations of the Arctic region; believes, however, that as a minimum starting-point such a treaty could at least cover the unpopulated and unclaimed area at the centre of the Arctic Ocean"); see also Timo Koivurova, Gaps in International Regulatory Frameworks for the Arctic Ocean, in ENVIRONMENTAL SECURITY IN THE ARCTIC OCEAN 139-55 (Paul A. Berkman & Alexander N. Vylegzhanin eds., 2013); New Rules Needed for the Arctic, WWF GLOBAL (Aug.17, 2007), http://wwf.panda.org/?111440/New-rules-needed-for-the-Arctic [https://perma.cc/WY7P-2TBP]("With the melting of arctic sea ice, which allows the opening of new shipping routes and makes possible the exploration of potentially vast reserves of minerals, oil and gas, WWF believes that the international Law of the Sea Convention (UNCLOS)-the UN body regulating these activities-is no longer adequate for the Arctic.'We need a new approach, which includes thinking about a solid Arctic Treaty and a multilateral governance body,' Dr. Hamilton added.'This is the only way to ensure the implementation of sustainable development regimes and help the Arctic adapt to the severe impact of climate change and ultimately stabilize the world's climate.'").

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)0.019
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.056
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.029
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0090.007
Scholarly communication0.0170.013
Open science0.0020.012
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0190.004

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 head0.013
GPT teacher head0.239
Teacher spread0.226 · 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 designTheoretical or conceptual
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

Citations8
Published2016
Admission routes1
Has abstractyes

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