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Record W4293230459 · doi:10.1163/15718085-bja10102

Cities and Sustainable Ocean Governance: A Neglected Link

2022· article· en· W4293230459 on OpenAlexaff
Aleke Stöfen-O’Brien, Alida J Doelle, Linda Del Savio

Bibliographic record

VenueThe International Journal of Marine and Coastal Law · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsDalhousie University
Fundersnot available
KeywordsNexus (standard)International lawCorporate governanceSustainabilitySustainable developmentLaw of the seaPolitical sciencePublic international lawBusinessLaw

Abstract

fetched live from OpenAlex

Abstract While the detrimental effects of cities have received increasing attention from decision-makers and scholars, their role in sustainable ocean governance and within public international law has often been neglected. This article aims to explore the ocean-city nexus at the interface of sustainability. This is done by reviewing the impacts of cities on the marine and coastal environment and by analysing potentially applicable rules and obligations in public international law. In the understanding that these questions are part of a broader discourse on the integration of non-State actors in public international law, it is demonstrated that cities may be important actors in sustainable ocean governance. With this, the article aims to contribute to the understanding of what sustainable cities may entail and to highlight the significance of the ocean-city nexus for sustainable development.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.824
Threshold uncertainty score0.998

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 science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.003
GPT teacher head0.197
Teacher spread0.193 · 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
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
Published2022
Admission routes1
Has abstractyes

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