Repercusiones económicas en Estados Unidos ante la terminación del TLCAN: un análisis subnacional
Bibliographic record
Abstract
Este articulo analiza las repercusiones para los estados de Estados Unidos ante una eventual ruptura del Tratado de Libre Comercio de America del Norte (TLCAN). Para tal efecto, se identifican los estados de la Union Americana, asi como los sectores economicos, comerciales y productivos, que pueden verse afectados por las politicas y acciones del presidente Trump que lleven a la terminacion del TLCAN. En este sentido, se examina el nivel de dependencia economica de los estados subnacionales de Estados Unidos, principalmente en su relacion comercial con Mexico y Canada, pero tambien respecto al numero de empleos y cadenas productivas que dependen de tal relacion. Este articulo observa el panorama economico en la region, en particular indicadores economicos como exportaciones, importaciones, numero de empleos y actividades productivas. Se recurre a la paradiplomacia economica como marco teorico conceptual para explicar la creciente participacion de los estados subnacionales en las relaciones economicas internacionales.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".