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Record W3123219617

OCEAN PLANNING AND THE GULF OF MAINE: EXPLORING BI-NATIONAL POLICY OPTIONS

2010· article· en· W3123219617 on OpenAlexaboutno aff
Lucia Fanning, Rita S. Heimes

Bibliographic record

VenueOcean and coastal law journal · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
Fundersnot available
KeywordsOceanographyPolitical scienceBusinessEnvironmental planningEnvironmental resource managementGeographyEnvironmental scienceGeology
DOInot available

Abstract

fetched live from OpenAlex

Over the twenty-five years since a special Chamber of the International Court of Justice (ICJ) issued its decision in the Delimitation of the Maritime Boundary in the Gulf of Maine Area (Gulf of Maine Case), legal scholars have written extensively on the significance of the ruling to influence Canada-U.S. relations specifically, and international arbitration in general.2 While the rationale behind any particular scholar’s interest in the case has varied over the years, its significance in informing deliberation surrounding maritime boundary delimitation owes much to the fact that the case presented many “firsts.” Among these were: the use of a special Chamber of the Court; the decision by Canada to submit the dispute to an international tribunal on its own behalf;4 and the request that a decision be made on a “single maritime boundary” that would include, not only the seabed beyond the limits of the territorial sea, but also the water column. In addition to its uniqueness, the significance of this request for a single boundary to delineate both seabed and fisheries resources has led many scholars, and even one of the judges of the Chamber, to question the legality and appropriateness of the request. As only the third case of maritime boundary delimitation to be heard by the Court at the time, the Gulf of Maine Case highlighted the Chamber’s novel use of a hierarchy of principles, equitable criteria, and practical methods in reaching its decision. At the same time, it has been subject to much criticism. Commentators have noted that the challenge of maritime boundary delimitation is to “reconcile conflicting claims to a maritime extension of coasts that differ in configuration, length and position in relation to the area to be delimited.” While solutions to this problem have been attempted in decisions rendered by the Chamber and the full Court over its sixty-five year history, assessing these judgments for guidance on maritime boundary delimitation is not the aim of this Article. Rather, its purpose is to focus on the issues confronting Canada and the United States after the Gulf of Maine decision was rendered and to explore how these two “friendly” neighboring states have attempted to pursue the principles of cooperation and agreement following the decision of the Court. As such, this Article is structured around five key components and is aimed at: (1) highlighting the underlying economic rationale behind why the two neighboring countries of Canada and the United States sought to clarify a single maritime boundary in the Gulf of Maine; (2) identifying the challenges confronting the parties in managing their ocean resources, after ownership had been established, particularly in light of growing energy-related exploitation demands; (3) discussing mechanisms for ocean planning and management adopted by each party to utilize its living and non-living resources; (4) presenting two examples of existing bilateral cooperation from which lessons can be gleaned for future collaborative efforts; and (5) identifying policy options and an implementation mechanism for transboundary cooperation in the Gulf of Maine that could potentially meet the objectives of both countries as they seek to implement marine spatial planning in their respective maritime zones.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.831
Threshold uncertainty score0.337

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0060.014
Scholarly communication0.0130.008
Open science0.0020.012
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.231
Teacher spread0.215 · 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 designNot applicable
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
Published2010
Admission routes1
Has abstractyes

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