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Impact of the United States-Mexico-Canada (USMCA) Free-Trade Agreement on the Automotive Sector in Mexico

2021· article· en· W3197462273 on OpenAlex
María de Lourdes Álvarez Medina

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNorteamérica · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsAutomotive industryProtectionismFree trade agreementInternational tradeCompetition (biology)RelocationBusinessProduction (economics)Supply chainGlobal value chainInternational economicsFree tradeEconomicsComparative advantageEngineeringMarketing

Abstract

fetched live from OpenAlex

The article aims to analyze the changes in the free trade agreement of the United States, Mexico, and Canada (USMCA) for the automotive industry, explaining the origin and impact on light vehicle production in Mexico. The new rules affect the drivers of location decisions for companies and positively influence the growth rate of the automotive industry in the region, but unevenly for the countries and companies involved. The regional content value of each automobile assembled in Mexico and sold in the United States in 2020 is analyzed to understand the dynamics of competition and protectionism. There is a strategy to increase automotive manufacturing in the region, especially in the United States. The agreement promotes import substitution, increasing the regionalization of the supply chain. German and Asian carmakers producing in Mexico will need more adjustments. Keywords: Automotive Industry, USMCA, industry relocation, rules of origin, protectionism.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.217
Teacher spread0.187 · 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