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Record W7023830842

Polar oceans governance in an era of environmental change

2014· article· en· W7023830842 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeopoliticsArcticPoliticsClimate changeCorporate governanceTreatyInternational relationsSustainabilityEarth system science
DOInot available

Abstract

fetched live from OpenAlex

'As climate change thrusts the Arctic and Antarctic towards the top of the global political agenda, this timely collection provides a broad overview of the issues, the options, and the rules and institutions that are already in place.'--Michael Byers, University of British Columbia, Canada and author of International Law and the Arctic. 'While at opposite ends of the earth, the shared characteristics of the Arctic and Antarctic are identified by this multidisciplinary collection of essays. Both regions need effective, flexible governance--whether through the Antarctic Treaty System or the Arctic Council--if they are to respond to the challenges of commercialization of hydrocarbons, climate change and the marine environment. Internationally recognized scholars grapple with the global politics of the polar regions, the perspectives of the Inuit people and the role of joint development. This invaluable, well-researched and stimulating collection clarifies the geopolitical and socio-economic dynamics of some of the world's most fragile and vulnerable environments.'--Gillian Triggs, Australian Human Rights Commission. This timely book provides a cutting-edge assessment of how the dynamic ocean regions at the highest latitudes on Earth are being managed in an era of unprecedented environmental change. The Arctic and Southern Oceans are experiencing transformative environmental change as a result of climate change and ocean acidification. As areas of unparalleled environmental, cultural and scientific value, they are crucibles for testing how integrated, eco-systemic governance frameworks can be developed to meet and address volatile environmental, political and economic challenges. Drawing especially on Australian and Canadian experiences in polar oceans management through multilateral global and regional institutions, the book identifies policy options for improving the governance of the Arctic and Southern Oceans. In off

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)0.002
metaresearch head score (Gemma)0.002
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 score0.048
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.005
Scholarly communication0.0060.003
Open science0.0000.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.024
GPT teacher head0.284
Teacher spread0.261 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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