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Record W2465611277 · doi:10.1017/s0032247416000462

The whys and hows of a cooperative mechanism for the Arctic marine environment

2016· article· en· W2465611277 on OpenAlexfundaboutno aff
William M. Eichbaum

Bibliographic record

VenuePolar Record · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
FundersNorth Pacific Marine Science Organization
KeywordsArcticMandateThe arcticPolitical scienceTreatyScope (computer science)Corporate governanceMarine protected areaMechanism (biology)Environmental planningBusinessEnvironmental resource managementPublic administrationGeographyOceanographyEnvironmental scienceComputer scienceEcologyLaw

Abstract

fetched live from OpenAlex

ABSTRACT Arctic ministers agreed at the latest 2015 Arctic Council ministerial meeting in Iqaluit to establish a ‘Task Force to assess future needs for a regional seas program or other mechanism, as appropriate, for increased cooperation in Arctic marine areas.’ Involving the Arctic Council in increased coordination of national marine management measures, and in drawing on experts from international organisations or treaty bodies to address related questions, is consistent with the longstanding advisory role of the Arctic Council. It also builds prudently on the council's emerging role as convener to accomplish discrete tasks critical to the health of the Arctic environment and the wellbeing of Arctic peoples. In order to strengthen Arctic marine cooperation and governance, the Arctic Council should adopt some instrument or arrangement through which it can more effectively coordinate among national management efforts affecting the Arctic marine environment and increase the effectiveness of the interplay with global governance mechanisms. The purpose of this commentary is to present World Wide Fund for Nature (WWF) perspectives on two important dimensions of this proposal. First, the commentary is to review the arguments as to why a strong regional seas program for the Arctic is required. Second, it is to address a series of questions that arise in considering the design of a framework mechanism necessary to create the program. The paper will provide WWF's views with regards to the mandate and scope of a future cooperative mechanism, its relationship to the Arctic Council and membership, and its legal form.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.886
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.274
Teacher spread0.252 · 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 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

Citations1
Published2016
Admission routes2
Has abstractyes

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