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Record W3116438059 · doi:10.1163/24519391-05020002

In Pursuit of the White Whale of Cooperation

2020· article· en· W3116438059 on OpenAlexaff
Robert C. Steenkamp, Cameron S. G. Jefferies

Bibliographic record

VenueAsia-Pacific Journal of Ocean Law and Policy · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsWhalingObligationCITESPolitical scienceCommissionInternational lawUnited Nations Convention on the Law of the SeaLawDutyWhite (mutation)Endangered speciesConventionInternational tradeGeographyFisheryBusinessEcologyArchaeologyHabitat

Abstract

fetched live from OpenAlex

Abstract On 26 December 2018, Japan announced that it would withdraw from the International Whaling Commission ( iwc ) and indicated its intention to begin commercial whaling for the first time in 30 years. Despite the ethical and political outcry from several States, the legal ramifications of Japan’s withdrawal requires further analysis. This article examines the relationship between Japan and the iwc ex ante and e x post Japan’s withdrawal. Such an examination highlights the influence that Japan’s international duty to cooperate in the conservation and management of cetaceans might have across various international instruments. Japan is no longer bound by the recommendations and resolutions of the iwc ; however, Japan remains a member of both the United Nations Convention on the Law of the Sea and the Convention on International Trade in Endangered Species of Wild Fauna and Flora. With this in mind, the article examines the interaction between these three international instruments as well as the influence that such interaction might have on Japan’s international obligation to cooperate in the conservation of cetaceans.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2020
Admission routes1
Has abstractyes

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