MétaCan
Menu
Back to cohort
Record W4393870975 · doi:10.1038/s44183-024-00058-6

When will the BBNJ Agreement deliver results?

2024· article· en· W4393870975 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

Venuenpj Ocean Sustainability · 2024
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsnot available
FundersKnut och Alice Wallenbergs StiftelseSvenska Forskningsrådet Formas
KeywordsAgreementPsychologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

A new international agreement on the conservation and sustainable use of marine biodiversity of areas beyond national jurisdiction (BBNJ) was adopted and subsequently opened for signature in September 2023. Yet on average, recent multilateral environmental agreements (MEAs) have taken over four years to move from signature to entry into force, while ocean-focused MEAs have taken nearly twice as long. Rapid ratification of the BBNJ Agreement is crucial for multiple reasons, not least to achieve the Kunming-Montreal Biodiversity Framework target for 30% of the marine environment to be protected by 2030. It is also vital to fulfill the Agreement’s stated ambition to contribute to a just and equitable future for humankind, considering today’s unprecedented expansion of commercial activities into the 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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.005
GPT teacher head0.213
Teacher spread0.208 · 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