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Record W4303982528 · doi:10.1017/cyl.2022.14

The Concept of “Marine Living Resources”: Navigating a Grey Zone in the Law of the Sea

2022· article· en· W4303982528 on OpenAlex
Vonintsoa Rafaly

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.

venuePublished in a venue whose home country is Canada.
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

VenueCanadian Yearbook of international Law/Annuaire canadien de droit international · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsnot available
Fundersnot available
KeywordsLawOceanographyGeographyPolitical scienceGeology

Abstract

fetched live from OpenAlex

Abstract The expression “living resources” occurs thirty-eight times in the United Nations Convention on the Law of the Sea ( UNCLOS ), but the latter does not give any legal definition of the term. The integration of environmental law taxonomy, such as biodiversity, in the evolution of the law of the sea has added to confusion regarding the meaning of “marine living resources.” To clarify the meaning of this expression and its legal scope in the evolution of the law of the sea, it is necessary to analyze the context of its use in UNCLOS and, more broadly, in the legal regime governing marine resources. This article aims to clarify the origins and extent of the confusion regarding the meaning of marine living resources and to analyze how the use of a broader semantic field in different legal instruments and other sources of international law has shaped the legal framework for the conservation and sustainable use of marine living resources.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.861
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.004
GPT teacher head0.188
Teacher spread0.184 · 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