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Record W2727110958

THE COLOMBIA-CANADA FREE TRADE AREA: A PARTIAL EQUILIBRIUM SIMULATION*

2012· article· es· W2727110958 on OpenAlexaboutno aff
Catherine Pereira Villa, Daniel Gómez Abella, Luis Omar Herrera

Bibliographic record

Venueinstname:Universidad de La Sabana · 2012
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsTrade diversionTrade creationPartial equilibriumEconomicsInternational tradeInternational economicsTrade barrierGravity model of tradeBilateral tradeFree tradeEconomic integrationFree trade agreementInternational free trade agreementGeneral equilibrium theoryGeographyMacroeconomicsChina
DOInot available

Abstract

fetched live from OpenAlex

This paper uses disaggregated trade data for 2010 and applies ex-ante partial equilibrium modeling to calculate the impact of the preferential trade agreement between Canada and Colombia. The simulations carried out show aggregate trade creation could be one and a half times larger than trade diversion; trade between the two countries in the first year of the agreement could grow by approximately ten percent and will be focussed on a small number of goods; trade diversion is stronger with the largest trading partner of each signatory, namely the United States; and trade diversion is not strong in the case of Colombia's neighbors with which there was significant trade prior to the agreement.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.194
Threshold uncertainty score0.390

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.220
Teacher spread0.192 · 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 designSimulation or modeling
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
Published2012
Admission routes1
Has abstractyes

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