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Record W4229975230 · doi:10.1504/ijplap.2019.10024463

Mind the compliance gap: managing trustworthy partnerships for sustainable development in the European Union's free trade agreements

2019· article· en· W4229975230 on OpenAlexaboutno aff
Iveta Alexovičová, Denise Prévost

Bibliographic record

VenueInternational Journal of Public Law and Policy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsSanctionsTransparency (behavior)EnforcementEuropean unionInternational tradeCompliance (psychology)AccountabilityCivil societyBusinessSustainable developmentPower (physics)Political scienceEconomicsInternational economicsLaw and economicsLaw

Abstract

fetched live from OpenAlex

Recent years have seen intensified interest in the labour and environment provisions in the EU's FTAs. The question has arisen whether the incorporation of 'trade and sustainable development' (TSD) chapters in the EU's FTAs deliver on their promise of using the EU's trade power to effectively promote the protection of the environment and improved working conditions in third countries. In particular, the compliance gap between the TSD provisions and their implementation has come to the forefront of the debate. Concerns have been raised that the EU's'promotional approach' based on dialogue and cooperation is less effective that the 'sanctions-based' approach followed by the US and Canada. This article examines the mechanisms for compliance in the TSD chapters in recent EU FTAs and argues that they hold greater promise for real improvements in labour and environmental standards than a sanctions-based enforcement system. However, it posits that, to be effective, and thereby gain the trust of civil society, the EU's 'promotional' approach must be supported by effective mechanisms for transparency, institutionalised dialogue and accountability.

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)0.004
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.971
Threshold uncertainty score0.413

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.072
GPT teacher head0.331
Teacher spread0.259 · 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 designTheoretical or conceptual
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
Published2019
Admission routes1
Has abstractyes

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