Not Just “Another Woman”: Femicide and Representation in <scp>G</scp>uatemala
Bibliographic record
Abstract
Resúmen Este artículo analiza el fenómeno social del feminicidio, el asesinato de mujeres por su género, el cual ha crecido en Guatemala en los años siguientes al fin de la guerra. Basado en mi investigación etnográfica de un año en Guatemala, analizo las diferentes perspectivas que discuten el tema, tales como la académica, la oficial del gobierno, la del los medios de comunicación, y la de las organizaciones no gubernamentales. Además, contrasto los discursos “oficiales” sobre el feminicidio con las experiencias de una familia que actualmente sufre las consecuencias de la pérdida de un familiar, lo cual desenmascara las brechas entre las respuestas institucionales a la violencia y la vida diaria de los guatemaltecos. Finalmente, argumento que para entender mejor la profundidad y las consecuencias de largo plazo de la violencia feminicida, es necesario enfocar la discusión en las voces y experiencias de las mujeres, así como en las redes sociales.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".