Dinámica del desempleo en Colombia: una propuesta de empalme de las encuestas de hogares con base en la tasa de desempleo
Bibliographic record
Abstract
El análisis acerca de los cambios de metodología entre la Encuesta Nacional de Hogares (ENH) y la Encuesta Continua de Hogares (ECH), permiten ver una ruptura en el estudio de los indicadores del mercado laboral justificando el desarrollo de una propuesta de empalme para las variables utilizadas en el calculo de los indicadores del mercado laboral. Particularmente, este artículo trabaja el empalme de la serie de la tasa de desempleo nacional a 7 Áreas Metropolitanas desde Marzo de 1985 hasta Diciembre de 2003, basándose en el cálculo de un factor de corrección definitivo que es el producto de dos factores de corrección: uno por definición y otro por recolección, tal como lo presentaron Suárez y Buriticá (2004). Los resultados del empalme muestran que la serie corregida disminuye aproximadamente 0.46 puntos porcentuales con respecto a la serie original. Asimismo, muestran que sólo es posible utilizarse las ECH del año 2000 y el primer trimestre del 2001 para empalmar las series.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".