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Record W2045415724 · doi:10.1177/0020702014541078

The seven-decade quest to maximize Canada’s continental shelf

2014· article· en· W2045415724 on OpenAlexaffabout
Elizabeth Riddell‐Dixon

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsWestern University
Fundersnot available
KeywordsContinental shelfUnited Nations Convention on the Law of the SeaExclusive economic zoneLaw of the seaSeabedTerritorial watersJurisdictionLawOceanographyConventionPolitical scienceLegislationSovereigntyInternational lawCommissionState (computer science)General assemblyMaritime boundaryGeologyPublic international lawPolitics

Abstract

fetched live from OpenAlex

For Canada, establishing sovereignty over its continental shelf resources has been a law of the sea priority since the Second World War. Large quantities of oil, gas, and minerals are contained in the seabed; hence, there is a strong economic imperative to establish coastal state jurisdiction. Historically, instead of taking unilateral actions, as many coastal states have, Canada has preferred multilateral channels. At the First and Second Conferences on the Law of the Sea, the Seabed Committee, and the Third Conference on the Law of the Sea, which produced the Convention on the Law of the Sea, Canada was a strong, effective advocate of coastal state rights. The convention’s provisions are highly advantageous to coastal states. Canada has incorporated these rights into its legislation, ratified the convention, spent over a decade mapping the seabed, and, in December 2013, filed a submission with the Commission on the Limits of the Continental Shelf.

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)0.008
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 score0.088
Threshold uncertainty score0.639

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.007
Scholarly communication0.0120.004
Open science0.0020.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0080.001

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 head0.243
Teacher spread0.240 · 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
Published2014
Admission routes2
Has abstractyes

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