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Record W4391693800 · doi:10.56238/sevened2023.006-145

The impacts of trade liberalization on the mexican countryside: 24 years from the North American free trade agreement

2024· book-chapter· en· W4391693800 on OpenAlexaboutno aff
Vanessa Gonçalves da Silva, José Pedro Cabrera Cabral

Bibliographic record

VenueSeven Editora eBooks · 2024
Typebook-chapter
Languageen
FieldSocial Sciences
TopicRegional Development and Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsFree tradeFree trade agreementInternational tradeInternational economicsEconomicsLiberalizationRural areaPolitical scienceMarket economyLaw

Abstract

fetched live from OpenAlex

This text aims to contribute to the debate initiated in the 2000s by the BRICS initiative on Middle-Income Countries (MRCs) and the impacts of development cooperation policies. Based on the implementation of the 1994 North American Free Trade Agreement (NAFTA) between the United States, Canada and Mexico. It was presented at the time as a policy of development cooperation that later proved to be a large-scale action of expansion of North American market capitalism. The premise that guides the research was to analyze the socioeconomic impacts in the Mexican countryside with a focus on: a) the impacts on labor markets; (b) agricultural production and food security; c) internal and external migratory processes. The research was carried out from academic documentary sources, newspapers and official documents of the Mexican government. The focus of the analysis was a critical reading of the processes triggered by the implementation of NAFTA in the Mexican countryside. The results point to the following impacts: a) a significant increase in unemployment and informal work in the Mexican countryside; b) the increase in both internal and external migratory processes; c) the worsening of a food crisis unprecedented in the country's history.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.253
Teacher spread0.231 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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