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Record W1622418775 · doi:10.15173/glj.v6i2.2401

Pushed out the Door, Back in through the Window: The Role of the ILO in EU and US Trade Agreements in Facilitating the Decent Work Agenda

2015· article· en· W1622418775 on OpenAlexvenueno aff
Rafaël Peels, Marialaura Fino

Bibliographic record

VenueGlobal Labour Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Labor and Employment Law
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationInternational tradeMultilateral trade negotiationsWork (physics)EconomicsInternational economicsTrade agreementTrade barrierFree tradePolitical scienceLaw

Abstract

fetched live from OpenAlex

Although the debate on the inclusion of labour provisions in trade agreements seemed to be closed after the multilateral trade negotiations in the late 1990s, it is revived in the current negotiation of the EU–US Transatlantic Trade and Investment Agreement (TTIP). TTIP negotiations are of particular importance in this regard as the agreement is believed to set the norm for future negotiations. This paper examines the evolution of labour provisions in the EU and US trade agreements in the past two decades. It finds that: First, labour provisions are increasingly included in trade agreements of the US and the EU. Second, ILO instruments are the main reference here, and they often include an explicit reference to the decent work agenda. Third, reference to the role of the ILO in the implementation of labour commitments is less explicit, but leaves the door open for involvement in various ways, mainly through technical cooperation activities, monitoring or via a consultative role in dispute settlement mechanisms.The analysis leads to the conclusion that whereas the trade–labour linkage and the role of the ILO in trade may have been pushed out of the multilateral trade system, the discussion revived in the framework of pluri-lateral trade negotiations.

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)0.020
metaresearch head score (Gemma)0.017
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 score0.020
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.021
Scholarly communication0.0150.012
Open science0.0010.009
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.317
Teacher spread0.282 · 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

Citations18
Published2015
Admission routes1
Has abstractyes

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