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Record W4414613346 · doi:10.1177/17506980251368794

“The military has buried corpses, and they have built houses on top”: Rumors, space, and affect in post-dictatorship Argentina

2025· article· en· W4414613346 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMemory Studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsRumorDictatorshipSilenceAffect (linguistics)Population

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.057
GPT teacher head0.338
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it