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Record W2034637719 · doi:10.1093/ejil/chq055

Non-compliance Mechanisms: Interaction between the Kyoto Protocol System and the European Union

2010· article· en· W2034637719 on OpenAlexaboutno aff
Anne‐Sophie Tabau, Sandrine Maljean‐Dubois

Bibliographic record

VenueEuropean Journal of International Law · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Policies and Emissions
Canadian institutionsnot available
FundersEuropean Commission
KeywordsKyoto ProtocolCredibilityEuropean unionNegotiationGreenhouse gasProtocol (science)Compliance (psychology)Montreal ProtocolInternational tradeBusinessEnvironmental economicsEconomicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

The universality of climate change challenges and interdependence in the reduction of greenhouse gas (GHG) emissions called for a collective response in a multilateral framework. However, because of discrepancies on the appropriate design for an international regime the European Community (EC) took the lead on the international stage in the negotiation and the application of the Kyoto Protocol. Thus, an international regime – a mixed agreement to which both the EC and its Member States are parties – and a regional regime in the framework of the European Union coexist. In both regimes, one of the core challenges remains to ensure the effective application of the law, which requires the setting up of compliance control mechanisms. At the international level, an innovative non-compliance procedure organizes a continuous monitoring which combines traditional techniques with more intrusive procedures. The system is also remarkable as regards the legal qualification of and reaction to non-compliance situations. For its part, the EC created a specific non-contentious mechanism and can make use of a reinforced jurisdictional armory and a reinforced sanctioning power. The EC's control mechanism should be able to take over from the Kyoto Protocol non-compliance mechanism in order to reinforce the effectiveness of adopted rules. Through the study of these mechanisms’ interactions, this article aims to assess the capacity of the control system as a whole to ensure the very credibility of the Protocol and the reliability of the international and European economic tools to reduce GHG emissions at least cost. Finally, it allows the envisaging of the possible evolutions of the legal regime of the fight against climate change.

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)0.023
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.025
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.011
Scholarly communication0.0120.009
Open science0.0020.006
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.014
GPT teacher head0.256
Teacher spread0.241 · 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 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

Citations31
Published2010
Admission routes1
Has abstractyes

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