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Record W4402857736 · doi:10.1093/iob/obae037

Ocean Planning and Conservation in the Age of Climate Change: A Roundtable Discussion

2024· article· en· W4402857736 on OpenAlex
Catarina Frazão Santos, Tundi Agardy, Larry B. Crowder, Jon Day, Amber Himes‐Cornell, Malin L. Pinsky, Julie Reimer, Elena Gissi

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

VenueIntegrative Organismal Biology · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal and Marine Management
Canadian institutionsFisheries and Oceans CanadaMemorial University of Newfoundland
FundersDivision of Chemical, Bioengineering, Environmental, and Transport SystemsFundação para a Ciência e a TecnologiaH2020 Marie Skłodowska-Curie ActionsHavs- och VattenmyndighetenInternational Council for the Exploration of the SeaEuropean CommissionUnited Nations Educational, Scientific and Cultural OrganizationNational Science Foundation
KeywordsGlobeClimate changeLeverage (statistics)Environmental planningMarine spatial planningEnvironmental resource managementGeographyPolitical scienceOceanographyComputer scienceEnvironmental sciencePsychologyGeology

Abstract

fetched live from OpenAlex

Over recent years, recognition of the need to develop climate-smart marine spatial planning (MSP) has gained momentum globally. In this roundtable discussion, we use a question-and-answer format to leverage diverse perspectives and voices involved in the study of sustainable MSP and marine conservation under global environmental and social change. We intend this dialogue to serve as a stepping stone toward developing ocean planning initiatives that are sustainable, equitable, and climate-resilient around the globe.

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 score0.136
Threshold uncertainty score0.148

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 head0.024
GPT teacher head0.277
Teacher spread0.253 · 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