LA COMPETITIVIDAD EN LA EXPORTACIÓN DE ESPÁRRAGOS SONORENSE HACIA ESTADOS UNIDOS EN EL MARCO DEL TLCAN
Bibliographic record
Abstract
As of January 1994, with the entry into force of the free Trade Agreement (NAFTA), the rules and procedures of marketing of products of the three countries, the United States, Canada and Mexico are home to new provisions in order to add economic, political and social. Under the premise that by signing treaties Mexico has sought to make regional or bilateral agreements to promote the exchange of goods and services between countries that celebrate the free trade agreement, mainly through the reduction of tariff barriers. This aloes diversify international markets and increase the profitability of the companies established in Mexico, since through trade can access inputs and final products from abroad at competitive prices. During the past two decades, Mexico has now a product diversification from agriculture towards export markets showing competitiveness in some sectors, particularly in the field of vegetables. In this regional context Sonoran economic analyzes of food industry in which there is a trend of growth in exports, while the United States despite having increased its exports worldwide, has lost competitiveness over Mexico. Because Mexico has great export potential of this product. In this situation you can create public policies to improve the production and marketing of vegetables in export markets. In this research work is analyzed in light of the model proposed by Vollrath (1991), the behavior of Mexican exports of vegetable marketing process in Mexico located within the agribusiness subsector, with the United States, for the purpose of analyzing the competitiveness by applying the method consisting IVCR measurement revealed comparative advantage at the level of specific products, particularly the Mexican asparagus.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".