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Record W4394577482 · doi:10.1038/s44183-024-00057-7

The human right to a clean, healthy and sustainable ocean

2024· article· en· W4394577482 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenpj Ocean Sustainability · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsUniversity of British ColumbiaFisheries and Oceans Canada
FundersNatural Environment Research CouncilSight Research UKGlobal Challenges Research FundDavid and Lucile Packard Foundation
KeywordsBusinessEnvironmental science

Abstract

fetched live from OpenAlex

Abstract The United Nations General Assembly adopted a resolution in 2022 that formally recognizes that there is a universal human right to a clean, healthy and sustainable environment. Yet there is evidence that human rights impacts associated with the degradation of the ocean environment are accelerating. In this perspective, we highlight how the recognition of the human right to a healthy environment can catalyze ocean action and transform ocean governance. In particular, it can do so through 1) catalyzing marine protection and increasing accountability through clarifying state obligations, 2) improving the inclusiveness of ocean governance, including through prioritizing and empowering groups in situations of vulnerability, and 3) enhancing ocean economy practices through clarifying private sector responsibilities. To those ends, there is an urgent need to move from recognition to implementation in order to protect both current and future generations’ human right to a clean, healthy and sustainable ocean.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.760

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.005
GPT teacher head0.271
Teacher spread0.267 · 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