La demanda de exportaciones: ¿qué dice la evidencia empirica? análisis para el caso ecuatoriano (1970-2002)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it