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Record W3188781083 · doi:10.1016/j.marpol.2021.104699

Enhanced monitoring of life in the sea is a critical component of conservation management and sustainable economic growth

2021· article· en· W3188781083 on OpenAlex
Maurice G. Estes, Clarissa R. Anderson, Ward Appeltans, Nicholas J. Bax, Nina Bednaršek, Gabrielle Canonico, Samy Djavidnia, Elva Escobar‐Briones, Peer Fietzek, Marilaure Grégoire, Elliott L. Hazen, Maria T. Kavanaugh, Franck Lejzerowicz, Fabien Lombard, Patricia Miloslavich, Klas Ove Möller, Jacquomo Monk, Enrique Montes, Hassan Moustahfid, Mônica M. C. Muelbert, Frank Müller‐Karger, Lindsey E. Peavey Reeves, Erin V. Satterthwaite, Jörn Schmidt, Ana M. M. Sequeira, Woody Turner, Lauren V. Weatherdon

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.

fundA Canadian funder is recorded on the work.
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

VenueMarine Policy · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMarine Biology and Ecology Research
Canadian institutionsnot available
FundersNational Oceanic and Atmospheric AdministrationNational Aeronautics and Space AdministrationXiamen UniversityDalhousie UniversityUniversità degli Studi di TrentoNuclear Safety and Security CommissionConsortium for Ocean LeadershipAustralian GovernmentAutomotive Research CenterSmithsonian InstitutionOld Dominion UniversityNational Science Foundation
KeywordsEnvironmental resource managementClimate changeSustainable developmentBiodiversityBusinessSustainabilityNatural resource economicsEnvironmental planningEnvironmental scienceOceanographyEconomicsEcology

Abstract

fetched live from OpenAlex

Marine biodiversity is a fundamental characteristic of our planet that depends on and influences climate, water quality, and many ocean state variables. It is also at the core of ecosystem services that can make or break economic development in any region. Our purpose is to highlight the need for marine biological observations to inform science and conservation management and to support the blue economy. We provide ten recommendations, applicable now, to measure and forecast biological Essential Ocean Variables (EOVs) as part of economic monitoring efforts. The UN Decade of Ocean Science for Sustainable Development (2021–2030) provides a timely opportunity to implement these recommendations to benefit humanity and enable the USD 3 trillion global ocean economy expected by 2030.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.983

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)0.0000.000

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 head0.019
GPT teacher head0.277
Teacher spread0.258 · 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