El comercio exterior de Castilla y León con las principales áreas económicas mundiales
Bibliographic record
Abstract
El objetivo del presente Trabajo de Fin de Grado es ofrecer un análisis global del comercio exterior de Castilla y León, poniendo el foco en las áreas económicas de GAFTA (Greater Arab Free Trade Area), MERCOSUR (Mercado Común del Sur), RCEP (Regional Comprehensive Economic Partnership), EEE (Espacio Económico Europeo) y USMCA ((United States-Mexico-Canada Agreement). Primero, se estudia la situación económica de la región y de estas áreas. Tras esto se han identificado las industrias que tienen mayor peso en el comercio de Castilla y León, las cuales constituyen el eje del análisis. Después se ha analizado el comercio interindustrial utilizando el Índice de Ventaja Comparativa, para conocer en que secciones del sistema TARIC Castilla y León presenta ventaja comparativa frente a dichas áreas económicas. Y, por último, se ha analizado el comercio intraindustrial, identificando con que áreas económicas tenemos un mayor intercambio bidireccional de bienes de la misma industria.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".