Las externalidades de los programas de transferencias condicionadas sobre el crimen: El caso de Familias en Acción en Bogotá
Bibliographic record
Abstract
En este trabajo estudiamos los efectos indirectos del mayor programa de transferencias condicionadas (PTC) de Colombia, Familias en Acción, sobre los niveles de criminalidad en el área urbana de la ciudad de Bogotá. Para realizar este estudio combinamos las siguientes dos fuentes de información: el Sistema de Información de beneficiarios de Familias en Acción (SIFA) y los reportes administrativos de criminalidad de la Policía Nacional. En el estudio evaluamos dos posibles canales por los cuales Familias en Acción puede afectar los niveles de criminalidad. Por un lado, el efecto ingreso, para el cual explotamos la variación existente en las fechas de pago del programa. Nuestros resultados indican que a través de este efecto el programa reduce el crimen a la propiedad.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".