Derecho y Ciencia: La racionalidad científica como fundamento de la decisión judicial en el ordenamiento jurídico colombiano
Bibliographic record
Abstract
El objetivo de este artículo es describir el rol atribuido a la ciencia en la toma de decisiones judiciales en el ordenamiento jurídico colombiano. El aborda las funciones que está llamado a jugar el conocimiento científico en la toma de decisiones, con el fin de iden-tificar la relación entre el derecho y la ciencia. Posteriormente, explica por qué el derecho ha perdido autonomía frente a la ciencia. Finalmente, analiza cómo la relación entre ciencia y derecho ha caído en el determinismo biológico en materia de pruebas de ADN. Por último, se ofrecerán las conclusiones sobre la necesidad de fomentar un reconocimiento de la racio-nalidad jurídica y las acciones para un trabajo con las ciencias.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".