Efectos de la especialización en hortalizas de exportación en México: Aspectos institucionales ante las ventajas comparativas reveladas y la sostenibilidad productiva.
Bibliographic record
Abstract
Productive specialization in Mexico has been significantly shaped by comparative advantages in trade with the United States within the framework of the USMCA (United States-Mexico-Canada Agreement). This paper explores how this specialization has transformed the productive structure, including its technical and organizational foundations, and the evolving standards for labor demand. We argue that Mexico’s current specialization in vegetable production is driven by competitiveness that relies on increasingly scarce productive resources, which raises concerns about the sustainability of this productive model. Our analysis reveals that while there has been a notable increase in specialization towards specific agricultural crops, the revealed comparative advantages and the complexity index indicate a focus on low-value activities. This trend contributes to the disarticulation of the regional economy and presents challenges for achieving productive scaling through robust economic development. Furthermore, the rising water stress in key agricultural regions highlights the contradictions inherent in the productive specialization models proposed by classical, neoclassical, and structuralist economic theories.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".