MétaCan
Menu
Back to cohort
Record W4312265860 · doi:10.56902/irbe.2018.2.1.2

Migration from Mexico to the US: The Impacts of NAFTA on Mexico and the United States and What to Do Going Forward

2018· article· en· W4312265860 on OpenAlexaboutno aff
Ashley Elsasser

Bibliographic record

VenueInternational review of business and economics/International review of business and economics · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationInternational tradeFree trade agreementPovertyUnemploymentGovernment (linguistics)State (computer science)Free tradeBusinessPolitical scienceEconomicsDevelopment economicsEconomic growthLaw

Abstract

fetched live from OpenAlex

Research indicates four main causes for migration from Mexico to the United States: Incredibly high crime rates, unemployment, poverty rates, and natural disasters. The first two are especially important in regards to trade between the two border sharing countries. Since agreeing to virtually total free trade, the United States has been able to take advantage of Mexico in such a way that has created further deterioration of the state. If the government of Mexico cannot resurrect the thousands of personal business that were effected do to NAFTA, the U.S. cannot expect for migration from Mexico to deteriorate or halt. By displacing Mexico’s small business owner’s, Mexico has effectively made their citizens weak to the inevitable increase in poverty, and the Cartels that have bought out swaths of land and human lives. In this paper, I reveal the direct correlations between agreements within the NAFTA and the millions of displaced agricultural workers in Mexico that caused an increase of immigration from Mexico to the United States. On January 1, 1994, The North American Free Trade Agreement (NAFTA), which includes Canada, Mexico, and the United States, was officially formed. By 2008, virtual free trade in almost all goods and services was established amongst all three countries, with the exception of a limited number of agricultural products traded specifically with Canada. The trade agreements of NAFTA were coupled with a surge of Mexican migrants to the U.S. The question under investigation is, why did so many Mexicans move to the United States after the NAFTA was signed? Contrary to the theoretical benefits of free trade, many citizens of the United States and Mexico have developed deep contention towards the agreement between their countries. In the United States, those whose’ lives revolve around the manufacturing industry argue that increased trade with low-wage countries, such as Mexico, threatens their employment due to industrial re-location. Mexican’s argue that the U.S. is dumping agricultural products and manufacturing industries that destroy local business and decrease the standard of living. More than 35 million Americans have Mexican roots, and Mexico is the United States’ third-largest trading partner, next to China. Despite the positive correlation that the economic gravity theory presents, that both countries are at an advantage to trade with one-another, I’m afraid it’s information is flawed. As the United States and Mexico attempt to find a way to grow their economies and decrease migration, from Mexico to the U.S., it is imperative for them to understand that free-trade, under the current NAFTA, has actually increased immigration from Mexico to the U.S. because of minimal protectionisms for Mexico’s workers- especially in agriculture. This paper is written with the intent to inform people of the relationship between trade and immigration, specifically, between the U.S. and Mexico.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.219
Threshold uncertainty score0.435

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.016
GPT teacher head0.283
Teacher spread0.267 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueInternational review of business and economics/International review of business and economicsSame topicMigration and Labor DynamicsFrench-language works237,207