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Record W7037601168

The Evolution of Labour Provisions in Regional Trade Agreements

2023· article· en· W7037601168 on OpenAlexfundno aff

Bibliographic record

VenueArchive ouverte UNIGE (University of Geneva) · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Natural History
Canadian institutionsnot available
FundersGovernment of Canada
KeywordsRegional tradeFree tradeWork (physics)Production (economics)Trade barrier
DOInot available

Abstract

fetched live from OpenAlex

This article maps the evolution of the language of labour provisions in regional trade agreements (RTAs) since 1990.It unpacks how RTAs have become a platform to voice labour concerns and facilitate compliance with international labour commitments, signalling a significant turn from the strict divide between multilateral trade negotiations and labour policies as decided at the Singapore Ministerial Conference of the World Trade Organization (WTO) in 1996.The language of RTA's preambular clauses, provisions governing domestic labour policies and internationally recognized labour rights and standards as well as labour-related trade exceptions form the basis of the analysis.The design of compliance mechanisms for, and implementation of, labour provisions is further analysed, whether they facilitate cooperation or establish dispute resolution procedures.The labour provisions in 512 agreements and forty-two amendments or protocols that entered into force between 1990 and 2022, based on a list of the Design of Trade Agreements (DESTA) database, were studied.Labour provisions vary in degrees of ambition: while RTAs with at least one European, North American, or South American trading partner increasingly include binding labour commitments and dispute resolution procedures, RTAs between African and Asia-Pacific trading partners are still cautious in developing linkages between market access and labour commitments.

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)0.005
metaresearch head score (Gemma)0.030
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: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0040.005
Scholarly communication0.0090.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.022
GPT teacher head0.188
Teacher spread0.166 · 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
Published2023
Admission routes1
Has abstractno

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