CONTRIBUCIÓN EN TORNO AL PRINCIPIO PRESUNCIÓN DE INOCENCIA EN EL MARCO DEL NUEVO MODELO ACUSATORIO DE ENJUICIAMIENTO PENAL (Ley 906 de 2004)
Bibliographic record
Abstract
Continuando en el marco de nuestro trabajo en relacion con los principios rectores del nuevo proceso penal colombiano –Ley 906 de 2004–, en esta nueva ocasion abordamos aqui un estudio en relacion con el principio-derecho-garantia de la presuncion de inocencia, a efectos de presentar, desde una perspectiva garantista, el sentido y alcance que el mismo debe tener dentro de los modelos acusatorios de enjuiciamiento. Es nuestro proposito reafirmar, dada la vigencia del principio acusatorio, que toda persona que sea sujeto pasible de un procesamiento penal, se encuentra legalmente amparada por una presuncion de inocencia que debe ser desvirtuada por el Estado; que, por tal razon, no solo tiene la obligacion de tratarlo como tal durante el curso de aquel sino tambien, el deber de demostrar su culpabilidad –sin que esta carga probatoria pueda invertirse–, con base en un convencimiento fundado mas alla de toda duda razonable y, a su vez, toda duda ha de resolverse de manera favorable al procesado (in dubio pro-reo).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".