La demanda de exportaciones: ¿qué dice la evidencia empirica? análisis para el caso ecuatoriano (1970-2002)
Bibliographic record
Abstract
TRABAJO QUE PLANTEA LA PROPUESTA DE DETERMINAR CUALES SON LOS DESTINOS MAS FAVORABLES PARA LA ACTIVIDAD EXPORTADORA, DE ACUERDO A LAS VENTAJAS QUE EL RESTO DE PAISES INMERSOS EN EL ENTORNO COMERCIAL PRESENTEN, EN RELACION A LA VARIACION DE PRECIOS Y DE INGRESOS, MEDIANTE LA UTILIZACION DE UNA FUNCION DE DEMANDA DE EXPORTACIONES PARA EL ECUADOR QUE PERMITA LA OBTENCION DE LAS ELASTICIDADES PRECIO Y RENTA A LARGO PLAZO, PARA LO CUAL SE HACE USO DE HERRAMIENTAS ECONOMETRICAS NO TRADICIONALES EN ESTE TIPO DE TRABAJOS.\nEN FUNCION DE LOS RESULTADOS ENCONTRADOS, LOS DESTINOS SOBRE LOS QUE DEBE TRABAJARSE PARA GANAR MAYOR MERCADO, SON LOS DE LOS PAISES COMO ESTADOS UNIDOS, CANADA Y MEXICO.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".