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Record W4401960030 · doi:10.4324/9781003492030-18

Jurisdictional Issues in the Settlement of Disputes Concerning Straddling Fish Stocks Under UNCLOS

2024· book-chapter· en· W4401960030 on OpenAlexaff
Yoshifumi Tanaka

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsSettlement (finance)FisheryFish <Actinopterygii>United Nations Convention on the Law of the SeaGeographyPolitical scienceLawBusinessInternational lawBiologyFinance

Abstract

fetched live from OpenAlex

An issue which may arise in the dispute settlement system under the United Nations Convention on the Law of the Sea (UNCLOS) is whether international disputes over fish stocks straddling the exclusive economic zone (EEZ) and the high seas are subject to the compulsory procedures set out in UNCLOS. Fish stocks which straddle the EEZ and the high seas can create more intractable fisheries disputes. This jurisdictional issue is therefore particularly important. UNCLOS or the Fish Stocks Agreement did not resolve the ambiguity as to the applicability of the compulsory dispute settlement procedures to straddling fish stocks disputes. No definitive conclusion can be drawn from the text of UNCLOS or supplementary means of interpretation, including the travaux préparatoires. Against that background, this chapter examines the jurisdiction of adjudicative bodies acting under Part XV of UNCLOS with regard to disputes on straddling fish stocks from three viewpoints: the consent of States, the effective settlement of international disputes, and safeguarding common interests of the international community or community interests.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.659
Threshold uncertainty score0.973

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)0.0280.001

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 head0.018
GPT teacher head0.262
Teacher spread0.244 · 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.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes1
Has abstractyes

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