Of benches and rubble: The aesthetics of difficult memory in two South African museums
Bibliographic record
Abstract
This article examines the commemorative strategies of two prominent South African museums, the Apartheid Museum and the District Six Museum, focusing on how remnants of destruction and systemic oppression, incorporated as memorial objects, affect the curated aesthetics of these spaces. Particular attention is paid to how rubble links museum interiors to their surrounding landscapes, with curation attributing meaning to it as a symbol of the plight of those who have been displaced or are no longer present. This is contrasted with apartheid benches, which serve as a foil for calling forth a spirit of solidarity against bigotry. The two museums are selected as case studies for their divergent approaches to shaping post-apartheid memory and redefining collective identities. The study argues that rubble generates an aura that introduces contingency into exhibitions, potentially disrupting established narratives and offering insights into the treatment of remnants of destruction at other memory sites.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.019 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".