Productos Potenciales Del Valle Del Cauca En El Acuerdo Comercial Colombia – Canadá (Potential Products of Valle del Cauca in the Trade Agreement Colombia – Canada)
Bibliographic record
Abstract
Spanish Abstract: Despues de dos decadas de apertura economica Colombia continua apostandole a la internacionalizacion de su economia a traves de integraciones bilaterales o multilaterales. Por lo tanto, en el marco del Tratado de Libre Comercio (TLC) con Canada, y con el fin de contribuir al analisis regional, el presente articulo identifica los productos del Valle del Cauca que muestran oportunidades de expansion en el mercado canadiense. Para ello, se aplican a mas de cinco mil subpartidas arancelarias los siguientes indicadores: el Indice de Ventaja Comparativa Revelada (IVCR), el Indice de Balanza Comercial Relativa (IBCR) y el Indice de Intensidad Importadora (III). Los resultados revelan una importante cantidad de productos regionales con oportunidades de ingreso a Canada, entre los que se destacan, en su gran mayoria, los bienes de origen manufacturero. Especialmente, 117 segmentos economicos muestran fuertes posibilidades de penetrar el mercado canadiense. English Abstract: After two decades of open economy, Colombia remains committed to the internationalization of its economy through bilateral or multilateral integration. Therefore, under the free trade agreement (FTA) with Canada and to contribute to regional analysis, this article identifies the products of Valle del Cauca that shows interesting growth opportunities in the Canadian market. For them apply to more than five thousand tariff sub-item the following indicators: The Index of Revealed Comparative Advantage (IRCA) and the Rate of Import Intensity (III). The results reveal a significant amount of regional products with income opportunities, among which stand out in their great majority, home goods manufacturing. Specifically, 117 segments show strong economic ability to penetrate the Canadian market.
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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 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".