“Limpieza social”: trabajadoras sexuales trans y conflicto armado en Colombia
Bibliographic record
Abstract
Desde que inició el Proceso de Paz en Colombia, en el año 2012, se han generado avances importantes en términos investigativos sobre los impactos que el conflicto armado generó en personas LGBT. A pesar de esto, sigue existiendo un gran vacío en el reconocimiento de las violencias que se ejercieron, de manera diferenciada, sobre trabajadoras sexuales trans en espacios urbanos. Por este motivo, el presente artículo señala cómo la cisheteronorma sobre la que se ha construido la sociedad colombiana se constituyó como un escenario idóneo para que los actores armados desplegaran acciones de exterminio a través de prácticas como la llamada “limpieza social” hacia mujeres trans mientras, al interior de sus grupos, se generaban tensiones de deseo y desprecio hacia estos cuerpos. Asimismo, durante el texto se indaga por el lugar que han tenido las resistencias de las disidencias sexuales en los procesos de reparación y memoria histórica.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".