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Record W7071877555

Tipo de cambio real bilateral y exportaciones de carne bovina uruguayas

2023· article· es· W7071877555 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2023
Typearticle
Languagees
FieldComputer Science
TopicQR Code Applications and Technologies
Canadian institutionsnot available
FundersIndigenous and Northern Affairs Canada
KeywordsHaySample (material)Statistical analysis
DOInot available

Abstract

fetched live from OpenAlex

Este documento analizala relación de largo plazo entre el tipo de cambio real bilateral y las exportaciones de carne bovina uruguayas en volumen para cuatro de los mercados más importantes de Uruguay (Unión Europea, Estados Unidos, Brasil y China) en el período 2005-2019 mediante Modelos Vectoriales de Corrección al Equilibrio(VECM). Los resultados son analizados en el marco de las condiciones de acceso comercial de Uruguay y de sus competidores en esos países. Los resultados indican que en aquellos mercados donde hay menoresrestricciones al comercio(como en el caso de Brasil y China) se observa la existencia de una relación entre el TCR bilateral, el PIB de la economía socia comercial y las exportaciones de Carne, coherente con lo esperado por la teoría económica. Por su parte, en los mercados donde existen mayores barreras al comercio no se encuentra evidencia estadísticamente significativa de una relación entre las variables planteadas. Para el subperíodo analizado y con la metodología implementada, este documento brinda nueva evidencia sobre el vínculo entre el tipo de cambio real bilateral y las exportaciones de carne para aquellos mercados donde rigen menos restricciones comerciales y aporta nuevos resultados sobre los mercados más restrictivos.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.001
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 head0.024
GPT teacher head0.257
Teacher spread0.233 · 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