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Record W1763736506

Filling an Arctic Gap: Legal and Regulatory Possibilities for Canadian-U.S. Cooperation in the Beaufort Sea

2010· article· en· W1763736506 on OpenAlexaboutno aff
Betsy B. Baker

Bibliographic record

VenueSSRN Electronic Journal · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMaritime boundaryArcticBeaufort scaleUnited Nations Convention on the Law of the SeaBeaufort seaMarine protected areaGeographyOceanographyJoint (building)Environmental resource managementContinental shelfEnvironmental planningPolitical scienceInternational lawGeologyEnvironmental scienceEngineeringLawEcologyCivil engineering
DOInot available

Abstract

fetched live from OpenAlex

Canada and the United States disagree as to the location of their maritime boundary in the Beaufort Sea of the Arctic Ocean, yet are working together in the region to map the extended continental shelf. This article proposes that the model used for joint seabed mapping - Canadian - U.S. scientific cooperation in accord with international law and institutions including the law of the sea - can also apply to the use of areas such as the Beaufort Sea. It suggests that cooperation to gather and expand upon relevant baseline data about the region is the proper foundation for any activity in the disputed area. On this basis, multiple, non-exclusive uses are possible and can provide for a range of sustainable and compatible activities if introduced gradually. Uses could be broader than typically associated with hydrocarbon cross-border unitization agreements and joint development zones or, for that matter, subsistence uses or marine protected areas. Continuing to expand the storehouse of data about the region can also serve as the foundation for joint ecosystem-based, integrated management or oversight of the area - a principle that is already central to each country’s approach to oceans management. Canada and the United States have recently begun planning for a bilateral Large Marine Ecosystem (LME) management pilot project in the Beaufort Sea under the auspices of the PAME/Arctic Council. This paper introduces and complements that process by exploring the regulatory foundations for a model of science-based, phased, multiple, and non-exclusive uses of the Beaufort Sea triangle under joint oversight. Such a model allows for a comparison and possible future harmonization of the best regulatory practices in each system, improving the overall quality of the practices in each state. This article provides concrete examples of how national legal systems can interrelate to fill gaps in arctic governance and regulation. The article and its title build on the Koivurova and Molenaar 2009 WWF gap analysis of arctic governance (i.e. international institutions) and regulation (i.e., international laws and regulations) by applying it to the domestic and bilateral arrangements of Canada and the United States. This article assumes that certain key concepts Koivurova and Molenaar identify—environmental assessment, marine protected areas, and “integrated cross-sectoral ecosystem-based ocean management” - are already woven into the legislative and regulatory fabric of Canada and the United States. However, it explores the extent to which this is true, as well as ways in which these elements can be expanded upon. It also suggests where these national systems might work together to improve legal and policy decisions affecting multiple uses of the disputed Beaufort Sea area. It concludes with a brief overview of how Canada and the United States do and may further incorporate selected multilateral, regional, and bilateral arrangements into their ocean infrastructures. This Part pays special attention to arrangements relating to the Arctic Council, touching also on the international law of the sea, and the International Maritime Organization. Throughout, the article draws eclectically on examples from fisheries, shipping, and offshore oil and gas activity.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.016
GPT teacher head0.294
Teacher spread0.278 · 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.

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

Citations6
Published2010
Admission routes1
Has abstractyes

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