Conciliación de delitos de tránsito únicamente con resultado de daños materiales
Bibliographic record
Abstract
La conciliacion sigue siendo un metodo alternativo para la solucion de conflictos que busca que las partes inmersas en el pleito directamente resuelvan el problema en comun que los une con la ayuda de una tercera persona ajena a la naturaleza del percance, quien facilitara un dialogo informal, este mecanismo es reconocido por el ordenamiento juridico para determinados tipos penales que no afectan los derechos e intereses de la comunidad en su conjunto y del Estado. La conciliacion no deja perdedores, es una forma de solucion pacifica de conflictos con evidentes ventajas, tales como: rapidez, economica, eficaz, restaurativa, etc. El origen de la conciliacion se remota a los sistemas juridicos de las primeras sociedades civiles, entre los regimenes legales mas evolucionados de esos tiempos, se encontraba el romano con la Ley de las XII tablas, cuerpo legal que contenia normas regulatorias para la convivencia social, otorgaba fuerza obligatoria a lo que convinieran las partes al ir a juicio, convirtiendose en cosa juzgada o sentencia ejecutoriada; la literatura frecuentemente situa a Ontario, Canada, como el lugar de la primera experiencia de justicia restaurativa, en base que en el ano de 1974 el Mennonite Central Committee introdujo la mediacion penal para resolver algunos casos en el espacio brindado por ciertos tribunales.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.006 |
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".