El índice de competitividad del comercio exterior: Una aplicación al caso de los principales exportadores mundiales de tomate
Bibliographic record
Abstract
espanolEl objetivo es analizar la competitividad en un pais para un producto en particular, en este caso el tomate, estudiando los paises compradores mas relevantes. Para ello se aplica el Indice de Competitividad de Comercio Exterior (ICCE) en los principales paises exportadores de tomate como Paises Bajos, Mexico o Espana durante el periodo de estudio 2008-2012. Los resultados muestran una evolucion positiva de la competitividad y de la cuota de mercado en la mayoria de los paises analizados a excepcion de Espana, Francia, Canada y Estados Unidos. EnglishThe objective of this work is to analyse the competitiveness in a country for a particular product, in this case the tomato, studying the most relevant purchasing countries. To this end, the Competitiveness Foreign Trade Index (CFTI) is applied in the main tomato exporting countries such as the Netherlands, Mexico and Spain during the 2008-2012 research period. The results show a positive evolution of competitiveness and market share in most of the countries analysed with the exception of Spain, France, Canada and the United States.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".