El mercado de estados unidos y sus implicaciones para el comercio mexicano: el caso de la industria manufacturera * profesor
Bibliographic record
Abstract
En este trabajo se examina el comercio exterior de Estados Unidos y su relacion con sus principales socios comerciales, enfocandose esencialmente a la industria manufacturera. Con este objetivo se construye el indice de ventajas comparativas reveladas con la finalidad de identificar los paises que poseen mayores ventajas sobre ese mercado y se comparan con el caso de Mexico, durante el periodo 1990 – 2004. Los resultados de la investigacion senalan que China ha venido aumentando el comercio con Estados Unidos de tal manera que actualmente es su principal proveedor de manufacturas, superando a Japon, Mexico y Canada. El indice de ventajas comparativas indica que Mexico aumento su especializacion en Estados Unidos, pero no gano ventajas comparativas reveladas ya que aumento de 0.33 en 1990 a 0.71 en el 2004. En el ano 2001 obtuvo ventajas comparativas de 1.05, pero la recesion economica de Estados Unidos ocasiono la reduccion de este en los siguientes anos. La elevada dependencia economica y politica del comercio exterior de Mexico con la economia de Estados Unidos ha frenado el crecimiento de las exportaciones totales y manufactureras mexicanas.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 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) | 0.006 | 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".