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Record W86395544 · doi:10.29173/alr268

The Legal Continental Shelf: The Surprising Canadian Practice Regarding Oil and Gas Development in the Atlantic Coast Continental Shelf

2012· article· en· W86395544 on OpenAlexaffvenueabout
Denis Roy

Bibliographic record

VenueAlberta Law Review · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsContinental shelfSovereigntyContinental marginOceanographyPoliticsGeologyPolitical scienceLawPaleontology

Abstract

fetched live from OpenAlex

Actions of the Government of Canada and the governments of Nova Scotia and Newfoundland and Labrador, such as interprovincial delimitation of the continental shelf, exclusive exploitation of continental shelf resources, and exclusion of all or part of the revenues generated by these resources from equalization calculations, create the impression of provincial ownership of the continental shelf. This is not the case. In fact, contrary to widely held views, the continental shelf belongs to no one. International law does not grant coastal states sovereignty over the continental shelf. Instead, it grants sovereign rights to explore and exploit the continental shelf. These rights, born of a process of political compromise, belong to the federal government. Consequently, the most common argument for excluding non-renewable resources from equalization calculations (namely, that they belong to the provinces) cannot apply to continental shelf resources. The Canadian practice regarding oil and gas development in the Atlantic coast continental shelf is, from both a legal and political standpoint, all the more surprising given that the Canadian federation is said to be held together by the principle of equalization.

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)0.006
metaresearch head score (Gemma)0.010
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 score0.111
Threshold uncertainty score0.804

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0190.019
Scholarly communication0.0120.002
Open science0.0030.002
Research integrity0.0060.007
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 head0.010
GPT teacher head0.246
Teacher spread0.236 · 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

Citations2
Published2012
Admission routes3
Has abstractyes

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