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Record W3167660766 · doi:10.1163/9789004434950_010

Settling Disputes in Regional Fisheries Management Organisations: Dealing with Objections

2020· book-chapter· en· W3167660766 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsnot available
Fundersnot available
KeywordsJurisdictionFisheries managementFisheries lawSustainabilityBusinessFisheryWork (physics)Political scienceConventionUnited Nations Convention on the Law of the SeaSettlement (finance)Dispute resolutionEnvironmental planningEnvironmental resource managementLawGeographyEconomicsEngineeringFishingEcologyFinance

Abstract

fetched live from OpenAlex

The essential purpose of Regional Fisheries Management Organisations is to provide an effective forum within which states can agree on fisheries conservation and management measures. Discussions on these measures are at the very heart of the work of rfmo s and can raise complex issues giving rise to disputes that may threaten to undermine the objectives of an rfmo, particularly where opt-out or objection procedures are invoked by parties seeking to avoid application of the measures. Jurisdictional hurdles to the resolution of disputes among rfmo members under Part xv of the 1982 Law of the Sea Convention, as seen in the Southern Bluefin Tuna, and Fisheries Jurisdiction (Spain v Canada) cases, are increasingly being overcome by the adoption by rfmo s of more comprehensive dispute settlement provisions which effectively incorporate Part xv requirements into their mandates. In addition, new and expeditious ad-hoc panel procedures are emerging in rfmo s to deal with the issues of opt-outs and objections. This chapter examines this emerging practice and assesses the efficacy of these procedures both in providing guidance to the states concerned and in strengthening the ability of rfmo s to conserve and sustainably manage the fish stocks under their control.

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.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.886
Threshold uncertainty score1.000

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)0.0140.001

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 head0.013
GPT teacher head0.198
Teacher spread0.185 · 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

Quick stats

Citations18
Published2020
Admission routes1
Has abstractyes

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