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Record W4311238528 · doi:10.24144/2307-3322.2022.73.29

Formation and evolution of international environmental agreements compliance bodies

2022· article· en· W4311238528 on OpenAlexaboutno aff
Yu. Pidgorodynska

Bibliographic record

VenueUzhhorod National University Herald Series Law · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEnforcementCompliance (psychology)TreatyEnvironmental lawCoercion (linguistics)International lawEnvironmental complianceBusinessMontreal ProtocolInternational communityPolitical scienceLaw and economicsLawEconomics

Abstract

fetched live from OpenAlex

The article deals with the formation and evolution of international environmental agreements compliance bodies. Their effective functioning is an important component of the mechanisms and procedures for ensuring compliance with relevant agreements. The study demonstrates that in international environmental law, like in other branches of international law, there is a problem of ensuring compliance with regulations. However, in the field of environmental protection at the international level, a system of autonomous compliance ensuring bodies, which are not classic international intergovernmental organizations, but have certain decision-making and control powers, has been formed, which is not typical for other branches. A feature of international environmental law is the emphasis on its non-coercive enforcement, which affected the authority of bodies and methods and means of control and ensuring compliance with the obligations of the parties to the Environmental Protection Act. A traditional example of the use of non-confrontational means aimed at facilitating the implementation of a treaty, rather than forcing it, is the Montreal Protocol enforcement procedure. It was she who became the prototype for many other MDONS. These bodies make up the core of the institutional component of international environmental protection regimes. The study of the development of these bodies over the past 30 years has shown that their creation to ensure the relevant treaties is an expanding trend. At the same time, the international community is trying to find an ideal balance between facilitation and coercion in the powers and functions of these bodies, which would help to facilitate and ensure compliance with the environmental obligations of the contracting states. Most of the procedures for ensuring compliance with international environmental agreements are based precisely on the facilitation approach. However, in the absence of the means of coercion these agreements often demonstrate their inability to guarantee compliance. As a result, the design of new international compliance bodies should demonstrate a successful combination of the elements of facilitation and enforcement. As it seems, in this regard the work of the Committee on Implementation and Compliance with the Paris Agreement to the UN Framework Convention on Climate Change will be telling.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.134

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.033
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0050.005
Science and technology studies0.0060.012
Scholarly communication0.0090.009
Open science0.0020.008
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0080.002

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 head0.023
GPT teacher head0.251
Teacher spread0.228 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2022
Admission routes1
Has abstractyes

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