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Record W3135118655

Repercusiones económicas en Estados Unidos ante la terminación del TLCAN: un análisis subnacional

2019· article· es· W3135118655 on OpenAlexaboutno aff
Roberto Zepeda

Bibliographic record

Venuenot available
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicEconomic Zones and Regional Development
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Este articulo analiza las repercusiones para los estados de Estados Unidos ante una eventual ruptura del Tratado de Libre Comercio de America del Norte (TLCAN). Para tal efecto, se identifican los estados de la Union Americana, asi como los sectores economicos, comerciales y productivos, que pueden verse afectados por las politicas y acciones del presidente Trump que lleven a la terminacion del TLCAN. En este sentido, se examina el nivel de dependencia economica de los estados subnacionales de Estados Unidos, principalmente en su relacion comercial con Mexico y Canada, pero tambien respecto al numero de empleos y cadenas productivas que dependen de tal relacion. Este articulo observa el panorama economico en la region, en particular indicadores economicos como exportaciones, importaciones, numero de empleos y actividades productivas. Se recurre a la paradiplomacia economica como marco teorico conceptual para explicar la creciente participacion de los estados subnacionales en las relaciones economicas internacionales.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0090.009

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 head0.009
GPT teacher head0.202
Teacher spread0.193 · 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 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
Published2019
Admission routes1
Has abstractyes

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