Análisis de indicadores de ventajas comparativas reveladas: competitividad de las exportaciones de fresa (Fragaria spp.) mexicana
Bibliographic record
Abstract
China and the main United States of America producing strawberry countries in 2016, contributed as a whole more than forty per cent of the entire volume of strawberry produced in the world. Spain, the United States of America, Mexico and Netherlands are the main exporting countries, while the main importer countries were the United States of America, Germany, Canada, France and the United Kingdom; the same year, Mexico occupied the third place like producing and third place between the exporting countries. In the previous context, this one investigation raises the analysis of the competitiveness of the strawberry produced in Mexico as regards Spain and the United States of America those who are the biggest exporters of the product on a global scale; by means of the calculation of the index of revealed comparative advantage of Vollrath (IVCR) for the period 1994-2016, the analysis of the indicator recounts that the competitiveness was increasing and that Mexico is provided with a comparative advantage revealed in the strawberry exportation
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".