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Record W4247281866 · doi:10.19030/iber.v6i10.3417

Polarizing Mexico

2011· article· en· W4247281866 on OpenAlexaboutno aff
Joseph Heinzman, Tamara F. Darnell

Bibliographic record

VenueInternational Business & Economics Research Journal (IBER) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Relations in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsPanacea (medicine)Mexico cityFree tradeInternational tradePoliticsFree trade agreementPolitical scienceDeveloping countryDevelopment economicsEconomicsEconomic historyEconomyEconomic growthLawSociologyEthnology

Abstract

fetched live from OpenAlex

Mexico has been a third-world country for centuries. Through its historical path of turbulent governments, Mexico was continuously left in a worse economic condition than where it was in each previous regime. (Suchlicki, 1996) When NAFTA was signed, the hopes were to unite and increase trade between Canada, the United States and Mexico. It was also believed that NAFTA would solve all of Mexicos social, political and economic problems, demonstrating how free trade could aid in developing a nation such as Mexico. (Smith & Lindlad, 2003) However, not all of Mexico was accepting NAFTA with open-arms. After the signing, there were hostile movements in Mexico (Suchlicki, 1996), attempted renegotiations of NAFTA ("Mexico Rejects," 2004) and a requirement for a delay in lifting some agricultural import barriers (Hall, Schwarf, and Root, 2006). While NAFTA is not a panacea for all of Mexicos economic woes, it is the path to a stronger Mexico in the future. The greatest obstacle to free trade lies within Mexicos divided culture and internal derision.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.885
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.174
GPT teacher head0.425
Teacher spread0.250 · 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; both teacher heads agree on what is shown here.

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
Published2011
Admission routes1
Has abstractyes

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