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Record W4365794455 · doi:10.1139/facets-2023-0043

COP 15: Crunch time for the world’s biodiversity

2023· article· en· W4365794455 on OpenAlexaffvenueabout
C. Scott Findlay

Bibliographic record

VenueFACETS · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsUniversity of OttawaOffice of the Chief Medical Examiner
Fundersnot available
KeywordsCrunchBiodiversityEconomicsBusinessEnvironmental scienceBiologyEcology

Abstract

fetched live from OpenAlex

Recalling its decision 14/34, in which it adopted the preparatory process for the development of the Kunming-Montreal global biodiversity framework and decided to establish an open-ended intersessional working group to support its preparation, Noting also the outcomes of the first, 1 second, 2 third 3 fourth 4 and fifth meetings 5 of the Open-ended Working Group on the Post-2020 Global Biodiversity Framework, of the regional and thematic consultations and workshops conducted based on decision 14/34 and of the intersessional work conducted on digital sequence information on genetic resources, Noting the outcomes of the eleventh meeting of the Ad Hoc Open-ended Working Group on Article 8(j) and Related Provisions, of the twenty-third and twenty-fourth meetings of the Subsidiary Body on Scientific, Technical and Technological Advice and of the third meeting of the Subsidiary Body on Implementation, Expressing its gratitude to the following Governments of […..] for hosting these consultations, as well as for their financial contributions, Expressing its gratitude to the Co-Chairs of the Open-ended Working Group on the Post-2020 Global Biodiversity Framework, Mr. Basile van Havre (Canada) and Mr. Francis Ogwal (Uganda), for supporting the development of the Kunming-Montreal global biodiversity framework, Welcoming the submissions by Parties, other Governments, indigenous peoples and local communities, United Nations organizations and programmes, other multilateral environmental agreements, subnational governments, cities and other local authorities, intergovernmental organizations, nongovernmental organizations, women's groups, youth groups, the business and finance community, the scientific community, academia, faith-based organizations, representatives of sectors related to or 1 CBD/WG2020/1/5. 2CBD/WG2020/2/4. 3CBD/WG2020/3/5.

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.999

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)0.0020.032

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 head0.151
GPT teacher head0.267
Teacher spread0.116 · 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; both teacher heads agree on what is shown here.

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

Citations13
Published2023
Admission routes3
Has abstractyes

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