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Record W3090383722 · doi:10.15173/glj.v11i3.4228

Novel Labour-related Clauses in a Trade Agreement: From NAFTA to USMCA

2020· article· en· W3090383722 on OpenAlexvenueaboutno aff
Christoph Scherrer

Bibliographic record

VenueGlobal Labour Journal · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsnot available
Fundersnot available
KeywordsOutsourcingFree trade agreementLabour lawGlobalizationEconomicsWageFree tradeInternational tradeLabour economicsInternational economicsPolitical scienceLawMarket economy

Abstract

fetched live from OpenAlex

The renegotiated North American Free Trade Agreement (NAFTA), now called the United States–Mexico–Canada Agreement (USMCA), contains two interesting innovations: the requirement of aminimum average wage in the manufacturing of motor vehicles (the Labour Value Content clause)and a detailed prescription for the reform of Mexican labour law. Both could serve as models forfuture labour chapters in trade agreements. The assessment contained in this article is based on theviews of those who demanded renegotiation of the labour-related provisions of NAFTA, expertson labour rights in free trade agreements (FTAs) and ethics criteria. The assessment results in asplit picture. The labour-related provisions came about under ethically problematic circumstancesand their complexity leaves much room for criticism. Yet, the idea of inserting a wage floor in anFTA, as well as monitoring and sanctioning mechanisms for ensuring internationally recognisedlabour rights, merits further consideration for future trade agreements.KEYWORDS: globalisation; industrial relations; competitiveness; trade agreements; outsourcing

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.024
GPT teacher head0.258
Teacher spread0.234 · 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 designObservational
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

Citations9
Published2020
Admission routes2
Has abstractyes

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