La Estrategia Nacional de Educación Económica y Financiera (ENEEF): una propuesta de implantación en Colombia
Bibliographic record
Abstract
Durante 2010 un grupo de trabajo convocado por Fogafin y conformado por el Ministerio de Hacienda y Credito Publico, el Ministerio de Educacion Nacional, la Superintendencia Financiera de Colombia, el Fondo de Garantias de Entidades Cooperativas, el Autorregulador del Mercado de Valores y el Banco de la Republica, planteo la creacion de una Nacional que coordinara todos los esfuerzos individuales. Con este fin en la mira, y teniendo en cuenta las experiencias exitosas en el desarrollo y adopcion de estrategias nacionales de esta naturaleza como las de Brasil, Republica Checa, y de paises desarrollados como los Estados Unidos, Canada, el Reino Unido, Nueva Zelanda e Italia, desarrollaron el documento Estrategia nacional de educacion economica y financiera: una propuesta para su implantacion en como un primer paso en esta via. Este documento plantea los lineamientos para la conformacion de una estrategia nacional de EEF para Colombia con base en el marco legal existente asi como las actividades necesarias para llevarla a cabo, ademas de la estructura y constitucion legal idonea para el desarrollo de la misma.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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".