MétaCan
Menu
← Back to cohort
Record W4240537165 · doi:10.1163/22116001-90000091

The State of Implementation of the Programme of Work on Marine and Coastal Biodiversity under the Convention on Biological Diversity from the Perspective of the Convention Secretariat

2012· article· en· W4240537165 on OpenAlexaboutno aff
Ahmed Djoghlaf

Bibliographic record

VenueOcean Yearbook Online · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
FundersShirshov Institute of Oceanology, Russian Academy of SciencesRussian Academy of SciencesLeibniz-GemeinschaftBahria UniversityIranian National Institute for Oceanography and Atmospheric ScienceCyprus University of TechnologyNazarbayev UniversityKorea Maritime InstituteUniversitas IndonesiaChubu UniversityHelsingin YliopistoUniversiti Malaysia SabahNational Institute of Oceanography and FisheriesShanghai Maritime UniversityLeibniz-Zentrum für Marine TropenforschungUniversity of Cyprus
KeywordsYearbookUnited Nations Convention on the Law of the SeaConvention on Biological DiversityPolitical scienceStakeholderPublic relationsConventionPublic administrationLibrary scienceLaw

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.025
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.004
Science and technology studies0.0040.009
Scholarly communication0.0150.006
Open science0.0030.007
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0150.003

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 head0.052
GPT teacher head0.314
Teacher spread0.262 · 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 designNot applicable
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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueOcean Yearbook Online→Same topicArctic and Russian Policy Studies→French-language works237,207→