Cambio estructural y desindustrialización: evidencia para Colombia
Bibliographic record
Abstract
Este artículo tiene como objetivo analizar el cambio estructural de la industria manufacturera colombiana, durante el período 1970-2008. Para tal fin, se examinan los determinantes del crecimiento industrial desde el enfoque de las fuentes de demanda, con base en la metodología desarrollada por Chenery y Syrquin (1989). El estudio se enfoca en el período de ajuste de los años noventa, para determinar los efectos de la aplicación del modelo de liberalización económica, en la dinámica, transformaciones y perspectivas de crecimiento de la industria manufacturera frente a la competencia externa que instaura el proceso de internacionalización de la economía. Los resultados obtenidos de la implementación de un índice de cambio estructural y de un modelo econométrico de datos panel, indican la existencia de un cambio estructural con un sesgo desindustrializador, a partir de mediados de la década de los años setenta, cuya principal característica es la pérdida progresiva de la generación de valor agregado de la industria manufacturera.
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How this classification was reachedexpand
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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; both teacher heads agree on what is shown here.
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".