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Record W4410942437 · doi:10.1093/indlaw/dwaf011

The Fifth Fundamental Labour Right in EU Free Trade Agreements

2025· article· en· W4410942437 on OpenAlexaboutno aff
Aleydis Nissen

Bibliographic record

VenueIndustrial Law Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Labor and Employment Law
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradeInternational economicsEconomicsBusiness

Abstract

fetched live from OpenAlex

Abstract This article examines the status of the right to a safe and healthy working environment (OHS) in European Union (EU) Free Trade Agreements (FTAs) by employing a comparative approach. It analyses OHS in EU FTAs using diachronic and synchronic methods and compares the EU’s stance with the positions of the United States and Canada. The article determines that transnational labour governance relating to OHS is increasingly being streamlined as the EU has started linking trade concessions to binding OHS obligations. The convergence of the substantive coverage of labour obligations in FTAs has to date remained understudied. The European Commission has stressed that the described shift is due to the recognition of OHS as the fifth fundamental labour right in 2022. However, this article argues that there are also other motivations. The EU already started negotiating binding OHS obligations following the negotiation of the FTA with Canada (2014) and after the adoption of the ‘Trade for All’ strategy (2015) under pressure from advocacy networks. Such networks—who have long considered OHS as the next frontier in transnational labour governance—found an ally in EU-based workers experiencing wage erosion against the backdrop of retreating multilateralism and increased trade in global value chains.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.946
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.326
Teacher spread0.293 · 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.

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
Published2025
Admission routes1
Has abstractyes

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