Microcrédito en la ciudad de Medellín: algunos casos de empresas financiadas por el Banco de las Oportunidades
Bibliographic record
Abstract
La propuesta de un banco para los pobres impulsado por el economista Muhammad Yunus ha revolucionado el mundo desde su creación en 1983; observando las condiciones económicas en las que vivían las personas en Bangladesh decidió otorgar créditos de mínima cuantía con el fin de promover el emprendimiento que posteriormente mejoraba la calidad de vida de las comunidades más vulnerables. Este modelo ha sido replicado en diferentes ciudades como es el caso de Medellín, donde se puede encontrar el programa Banco de los Pobres, Banco de las Oportunidades que busca servir de apoyo al crecimiento económico y social de la ciudad, integrado de manera estratégica con otros programas de la denominada Cultura E que le han permitido a Medellín ser una de las ciudades más admiradas del país y a los emprendedores hacer sus sueños realidad.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".