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Record W4391870600 · doi:10.1017/9781009373913.006

The New Generation of Environmental Non-Compliance Procedures and the Question of Legitimacy

2024· book-chapter· en· W4391870600 on OpenAlexaboutno aff
Malgosia Fitzmaurice

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsnot available
Fundersnot available
KeywordsLegitimacyConventionCompliance (psychology)Political scienceInternational communityEnvironmental lawMontreal ProtocolConvention on Biological DiversityEnvironmental planningBusinessPublic administrationEnvironmental protectionLawGeographyOzone layerEcologyBiodiversityPsychology

Abstract

fetched live from OpenAlex

Non-Compliance Procedures are designed to facilitate the compliance of States parties with obligations deriving from Multilateral Environmental Agreements but may trigger harsher means to elicit compliance such as suspension of a party’s rights. The chapter will analyse the classical NCPs such as those in the Montreal Protocol on Substances That Deplete the Ozone Layer, the Convention on International Trade in Endangered Species of Wild Fauna and Flora, the Convention on Access to Information, Public Participation in Decision-making and Access to Justice in Environmental Matters and the Kyoto Protocol. It will then analyse the new type of NCPs, established in the Paris Agreement and the Rotterdam Convention on the Prior Informed Consent Procedure for Certain Hazardous Chemicals and Pesticides in International Trade and the Convention on the Protection and Use of Transboundary Watercourses and International Lakes. This chapter will analyse whether compliance is better ensured by more facilitative rather than coercive methods, together with NCPs’ legitimacy, including with reference to the powers of Conferences or Meetings of the Parties which mostly decide on non-compliance.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.993
Threshold uncertainty score0.614

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 studies0.0000.002
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 head0.024
GPT teacher head0.245
Teacher spread0.221 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2024
Admission routes1
Has abstractyes

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