“The military has buried corpses, and they have built houses on top”: Rumors, space, and affect in post-dictatorship Argentina
Bibliographic record
Abstract
A persistent rumor claims that beneath the foundations of the four strategic villages built during Argentina’s last dictatorship in Tucumán, the military buried corpses of the disappeared. This article aims to explore how the memory of what happened during the dictatorship is intertwined with, persists through, and is altered by the infrastructure built by the military. In other words, it examines the interaction between memories of violence and material traces in the aftermath. The article analyzes how the content of rumor continues to affect the very spatiality of the strategic villages but also the community of people who know and share the rumor. It is also explored how this spatiality reveals a very complex network of suspicions about the population still living inside the strategic villages. Finally, the article shows that silence prevails inside the strategic village and explore who silence help to create and maintain distance from violent episodes. Both rumor and silence surrounding the alleged mass graves activate and expose the underlying tensions in a territory still deeply affected by state-sponsored violence.
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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 | 0.005 |
| 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 | 0.005 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".