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Record W6982596474

Is USMCA Good for Mexican Labor? A Preliminary Analysis of USMCA and Labor Market Outcomes in Mexico

2024· article· en· W6982596474 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsProductivityWorkforceLabor relationsProduction (economics)WageLabor costThe labor problemEfficiency wageLabor demand
DOInot available

Abstract

fetched live from OpenAlex

The United States-Mexico-Canada Agreement (USMCA) introduced significant labor provisions aimed at bolstering labor rights and promoting union democracy, representing a departure from its predecessor, the North America Free Trade Agreement (NAFTA). This paper examines USMCA’s potential benefits and limitations on labor, arguing that the trade agreement’s effectiveness in improving labor conditions in Mexico may be limited. By primarily benefitting export-oriented firms, USMCA leaves a significant portion of Mexico’s workforce untouched. Moreover, USMCA's new wage requirements, intended to raise labor standards, may paradoxically increase production costs for formal firms, potentially lowering overall productivity. This paper underscores the persistent formal-informal labor divide in Mexico, suggesting that USMCA alone cannot address this issue and concludes that, despite supporting millions of jobs in Mexico, USMCA is unlikely to lead to widespread improvements in wages and economic productivity in the country without comprehensive structural reforms fostering business growth, strengthening labor regulations, and promoting broader societal engagement.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.760
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.022
GPT teacher head0.264
Teacher spread0.242 · 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
Published2024
Admission routes1
Has abstractyes

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