MétaCan
Menu
Back to cohort
Record W3214749846 · doi:10.1163/18786561-11030003

Might Cooperative Approaches Not Be So Cooperative? Exploring the Potential of Article 6.2 of the Paris Agreement to Generate Legal Disputes

2021· article· en· W3214749846 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClimate Law · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsPrinciple of legalityInternational lawPolitical scienceLaw and economicsPoliticsAgreementSPARK (programming language)Point (geometry)LawSociologyComputer science

Abstract

fetched live from OpenAlex

Abstract With Article 6.2, the Paris Agreement offers its parties the possibility to engage in cooperative approaches to import mitigation outcomes that have been generated on the territory of another party and use these international transferred mitigation outcomes ( itmo s) for compliance purposes. While this possibility seems to pave the way to more—and presumably new forms of—climate cooperation outside the UN climate regime, this paper asks whether Article 6.2 is also likely to spark disagreement among states. It is suggested that it bears as much a potential to generate cooperation as to generate conflict. To illustrate that point, the paper explains how Article 6.2 could lead to conflict between developed and developing states over the legality of unilateral restrictions on the admittance of itmo s and discusses what such conflict may look like, as well as its possible legal and political implications.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.770

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.063
GPT teacher head0.269
Teacher spread0.206 · 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