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Record W1583685645

Earth Science and the Law of the Sea: Keys to Canada's Offshore Energy and Mineral Resources beyond 200 Nautical Miles

2001· article· en· W1583685645 on OpenAlexaffvenueabout
R Macnab, R T Haworth

Bibliographic record

VenueGeoscience Canada · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsHudbay Minerals (Canada)Geological Survey of Canada
Fundersnot available
KeywordsUnited Nations Convention on the Law of the SeaGeographyNautical mileJurisdictionInternational lawPolitical scienceHumanitiesLawCartographyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Article 76 of the United Nations Convention on the Law of the Sea allows Canada to establish sovereignty over resources of the seabed beyond the customary 200 nautical mile limit, when certain bathymetric and geological criteria are satisfied.This paper outlines the procedures for meeting those criteria, and describes the mutual benefits that can accrue to the earth sciences and the Law of the Sea through programs for collecting and analyzing the necessary data. In the Atlantic and Arctic oceans, this work could allow Canada to extend energy and mineral jurisdiction into seabed areas that approach the size of the three Prairie Provinces combined. Resume L'article 76 de la Convention des Nations Unies sur le droit de la mer permet au Canada d'etablir sa souverainete sur les ressources des fonds marins au-dela de la limite bien connue des 200 miles nautiques, sous reserve de certains criteres bathymetriques et geologiques. Le present article decrit les procedures auxquelles il faut se plier, de meme que les retombees positives qui decoulent de la cueillette et l'analyse des donnees necessaires, autant pour les sciences de la Terre que pour le droit de la mer. En ce qui a trait aux oceans Atlantique et Arctique, le Canada pourrait voir sa juridiction s'appliquer a un territoire dont la dimension correspondrait a peu pres a l'etendue des trois provinces des Prairies ensembles.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.008
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.225
Teacher spread0.217 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2001
Admission routes3
Has abstractyes

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