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Record W2108448622 · doi:10.33005/jgp.v1i02.1998

Pengaruh North American Free Trade Agreement (NAFTA) terhadap Perekonomian Meksiko

2020· article· en· W2108448622 on OpenAlexaboutno aff
Abim Galau Agasi

Bibliographic record

VenueGlobal and Policy Journal of International Relations · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Zones and Regional Development
Canadian institutionsnot available
Fundersnot available
KeywordsFree trade agreementDevaluationInternational tradeInvestment (military)Free tradeEconomicsForeign direct investmentInternational economicsEconomic integrationInternational free trade agreementPolitical instabilityEconomic policyPoliticsPolitical scienceCurrency

Abstract

fetched live from OpenAlex

At 1994, Mexico have a crisis result to domestic political instability and failures of the devaluation policy. Historically, the Mexican economic crisis had begin from 1980. The crisis in 1980 is result of Mexico’s foreign debt that fail to paid. Mexico made several attemps to rise from the economic crisis. One of the efforts is to be a member of NAFTA. To conform with NAFTA, Mexico changed some national policies. NAFTA is a regional institution for the North American that made by the government of the United States, Canada and Mexico. NAFTA implemented on January 1, 1994. NAFTA has three programs of cooperation, there are Free Trade Agreement, Environmental Cooperation and Labor Cooperation. NAFTA has gradually eliminate obstacles on cross-border trade in the region. NAFTA affected on Mexican economic growth because NAFTA has opened opportunity for Mexico to cooperate with the other NAFTA members. The cooperation aims to attract the foreign investment and increase the value of Mexican exports products, mainly agricultural products, so that GNP will growth and the economic growth will reached too. Keywords: Mexico, Economic Crisis, NAFTA, Cooperation, Economic Growth. DOI: https://doi.org/ 10.33005/jgp.v1i02.1998

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score0.483

Codex and Gemma teacher scores by category

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

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 head0.028
GPT teacher head0.240
Teacher spread0.211 · 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.

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
Published2020
Admission routes1
Has abstractyes

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