MétaCan
Menu
Back to cohort
Record W7034597326

United Nations - Convention on Biological Diversity and COP15

2022· article· en· W7034597326 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

VenueWBI Studies Repository · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Biological Research in Conflict Zones
Canadian institutionsnot available
Fundersnot available
KeywordsConvention on Biological DiversityBiodiversityConventionTreatyConference of the partiesWildlifePlan (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

With wildlife and biodiversity in an unprecedented crisis, pressure weighs heavily on the UN‘s Convention on Biological Diversity (CBD), a multilateral environmental treaty that went into effect in 1993.\nIn December 2022, the CBD’s fifteenth Conference of Parties (COP15) will convene in Montreal to adopt an updated post-2020 Global BiodiversityFramework (GBF). This Framework replaces the 2011-2020 strategic plan including the Aichi five goals and twenty targets. These targets have not been met and now need to be updated.\nPlanning for this update on a new Global Biodiversity Framework at COP15 began in 2016. COP15 was initially scheduled to be held in Kunming, China, in October 2020. However, it has been repeatedly delayed because of the pandemic. A virtual first phase of COP15 was held from October 11-15, 2021. The in-person COP15 that should adopt the new GBF is scheduled for Montreal (where the CBD secretariat is located) from December 7-19, 2022

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.998

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 studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.004
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 head0.096
GPT teacher head0.297
Teacher spread0.200 · 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