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Record W2946840597 · doi:10.7202/1059297ar

Delimitation of Maritime Boundaries: Continental Shelf and Exclusive Economic Zone, in Light of the Gulf of Maine Case, Canada v. U.S.A. (1984)

2019· article· en· W2946840597 on OpenAlexaffvenueabout
Donat Pharand

Bibliographic record

VenueRevue générale de droit · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMaritime boundaryObligationInternational courtExclusive economic zoneInternational lawContinental shelfEconomic JusticeBoundary (topology)LawPolitical scienceGeographyPublic international lawLaw and economicsSociologyOceanographyMathematicsGeology

Abstract

fetched live from OpenAlex

The international law applicable to maritime boundary delimitation is very imprecise and, consequently, decisions of international tribunals are of the utmost importance. The recent decision of a Chamber of the International Court of Justice in the Gulf of Maine Case, between Canada and the United States, makes a significant contribution to the development and clarification of the applicable law. The Chamber's judgment, which is considered as one rendered by the Court itself, clarifies the difference between principles and rules of international law, on the one hand, and equitable criteria and practical methods, on the other. Principles of law are limited to a few basic norms, such as the obligation to seek an agreement and, if one cannot be reached, to have recourse to third party procedure with a view to arriving at an equitable delimitation by taking all relevant circumstances into account. Equitable criteria, such as the geographical configuration of the area, and practical methods, such as that of equidistance, are numerous and vary with each concrete situation.

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)0.005
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 score0.080
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0160.013
Scholarly communication0.0070.002
Open science0.0020.003
Research integrity0.0130.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.003
GPT teacher head0.186
Teacher spread0.182 · 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

Citations5
Published2019
Admission routes3
Has abstractyes

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Same venueRevue générale de droitSame topicInternational Maritime Law IssuesFrench-language works237,207