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Record W4383506355 · doi:10.1016/j.cosust.2023.101319

The Ocean Decade as an instrument of peace

2023· article· en· W4383506355 on OpenAlexaff
Robert Blasiak, Jean‐Baptiste Jouffray, Albert V. Norström, Cibele Queiroz, Colette C. C. Wabnitz, Henrik Österblom

Bibliographic record

VenueCurrent Opinion in Environmental Sustainability · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsUniversity of British Columbia
FundersKnut och Alice Wallenbergs StiftelseSvenska Forskningsrådet FormasSkogs- och Jordbrukets ForskningsrådWalton Family FoundationDavid and Lucile Packard Foundation
KeywordsOcean scienceContext (archaeology)TypologyPeacebuildingPolitical sciencePlan (archaeology)Indian oceanOceanographyGeographyPublic administrationGeology

Abstract

fetched live from OpenAlex

The United Nations Decade of Ocean Science for Sustainable Development 2021–2030 (the ‘Ocean Decade’) is poised to stimulate new cooperation for ocean science, but makes no mention of conflict or peace. We contend that this is a missed opportunity, and use an environmental peacebuilding typology to review how ocean science has historically contributed to peace. Such considerations are timely in the context of an increasingly complex and multidimensional ocean risk landscape, due among other things to unprecedented growth in the extent and intensity of ocean uses, and increasing conflict potential as the ocean becomes a more crowded and coveted place. We conclude by proposing the Ocean Decade Implementation Plan be appended to include an eighth intended outcome: ‘A Peaceful 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0040.009
Scholarly communication0.0110.013
Open science0.0010.014
Research integrity0.0070.010
Insufficient payload (model declined to judge)0.0080.001

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 head0.029
GPT teacher head0.341
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations16
Published2023
Admission routes1
Has abstractyes

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