Loss, Emotions, and Politics: Mass Graves, Melancholia, and Performance in Santiago Roncagliolo’s Abril rojo (2006)
Bibliographic record
Abstract
Una de las tantas fosas masivas clandestinas en las cuales yacen los cadáveres anónimos de muchas de las víctimas del conflicto entre el estado peruano y el grupo terrorista Sendero Luminoso es representada en la novela Abril rojo (2006) de Santiago Roncagliolo. Este horrendo agujero, además de dar testimonio sobre la violencia del choque armado, sirve como escenario para el performance político de Nélida, la acongojada madre de uno de los muchos desaparecidos del conflicto. Entre gritos, empujones y amenazas, Nélida muestra su interminable tristeza (o melancolía) y establece el infranqueable compromiso que tiene para con su hijo. Mediante estas acciones ella también protesta con singular potencia los abusos y crímenes cometidos durante el conflicto. A través de las divagaciones freudianas sobre “melancolía” y “paso al acto”, este ensayo explica cómo el comportamiento de Nélida alrededor de la fosa clandestina se convierte en un performance político que exige justicia para los culpables y que busca generar y perpetuar la memoria de las víctimas.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.017 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".