Outlining the Victims of the Holocaust and the Argentinian Dictatorship: Jerzy Skąpski’s Każdy Dzień Oświęcimia and Rodolfo Aguerreberry, Julio Flores, and Guillermo Kexel’s “El Siluetazo”
Bibliographic record
Abstract
In this article, I examine two case studies of spatial representation of atrocity and trauma: Jerzy Skąpski’s poster Każdy Dzień Oświęcimia (Every Day at Auschwitz) (1974), published in the October 1978 edition of The Unesco Courier, and the aesthetic/activist action known as “El Siluetazo” (1983), which was created by Rodolfo Aguerreberry, Julio Flores, and Guillermo Kexel, and carried out as a memory-activist intervention by the Mothers of Plaza de Mayo and the Argentinian public on 21–22 September 1983. To examine the interconnections of Holocaust memory within these two case studies, I follow Michael Rothberg’s notion of multidirectional memory and Astrid Erll’s conceptualization of transcultural and travelling memory. In particular, I analyze how Skąpski’s use of silhouettes to spatially depict the victims of Auschwitz is adopted and transformed by the Argentinian artists and public to denounce the disappearance of 30,000 of their compatriots. I argue that in outlining the figures of the victims of the Holocaust and the Argentinian dictatorship, respectively, these creative works exemplify the transcultural use of silhouettes originating in Holocaust memory and the multidirectional influence, derived from their organic connection, of spatial visualizations of absent bodies as they commemorate and make present the victims of these traumatic histories.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.026 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".