Oportunidades De Exportación Del Valle Del Cauca En El Acuerdo Comercial Colombia-Canadá: El Caso Del Sector Azucarero (Export Opportunities for Valle Del Cauca Department within the Colombia-Canada Trade Agreement: The Case of the Sugar Sector)
Bibliographic record
Abstract
Spanish Abstract: El Tratado de Libre Comercio de Canada y Colombia es un avance en el proceso de integracion de sus dos economias, que brinda nuevas oportunidades comerciales. Esta investigacion busca arrojar luces sobre la competitividad exportadora sectorial del Valle del Cauca. Se examinan las relaciones comerciales entre este departamento y Canada, y se identifican aquellos productos del sector azucarero que presentan oportunidades de ingreso al mercado canadiense. Para ello se utilizan los indices de Ventaja Comparativa Revelada, Balanza Comercial Relativa e Intensidad Importadora. Estos indices fueron calculados para las 14 subpartidas arancelarias que componen el capitulo arancelario 17, correspondiente a «Azucares», entre 2005 y 2008. Se hallo que los productos «Azucar de Cana en Bruto» y «Glucosa y Jarabe de Glucosa sin Fructosa» muestran oportunidades de ingreso al mercado canadiense segun los tres indices. English Abstract: The Free Trade Agreement signed by Canada and Colombia is a landmark in their integration process, creating new trade conditions in favor of Colombia. The aim of this article is to shed light on the competitiveness of Valle del Cauca’s sugar sector. It describes the bilateral trade between the department of Valle del Cauca and Canada, and identifies which products stand a good chance to be exported to the Canadian market. In order to do this, the Revealed Comparative Advantage indexes, Relative Trade Balance, and Import intensity index are calculated. Such indexes were applied to the 14 subheadings tariff making up the tariff chapter 17, «Sugars», between 2005 and 2008. In spite of a persistent trade deficit with Canada, two subheadings, Raw Can Sugar and and Glucose Syrup, are potentially competitive considering the measurement of the three measures and the improved conditions offered by the Free Trade Agreement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".