EXPERIENCIAS INDIVIDUALES Y COLECTIVAS DE VIOLENCIA Y VICTIMIZACIÓN EN TORNO A LA DELINCUENCIA ORGANIZADA EN MÉXICO. UNA APROXIMACIÓN CUALITATIVA
Bibliographic record
Abstract
La violencia que ha padecido México en la última década no encuentra referente alguno en la historia reciente del país. Mientras que en los últimos veinte años las tasas de homicidio habían descendido sistemáticamente, los escenarios de violencia letal y otras formas de violencia grave cambiaron de manera drástica y dramática, en un periodo de tiempo muy breve. Con una realidad muy distinta y cercana a la de un conflicto armado en varias regiones, un gran número de víctimas y comunidades se han visto afectadas por la violencia asociada a la delincuencia organizada y por la respuesta estatal a la misma. En este panorama, el presente artículo explora, desde un enfoque cualitativo, la perspectiva de las víctimas y sus comunidades acerca de cómo han vivido los impactos de la violencia y sus experiencias de acceso a la justicia penal en México.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".