Bibliographic record
Abstract
The exhibition "Remembering S-21 Victims through their Clothes: Textile Preservation at Tuol Sleng Museum" at Tuol Sleng Genocide Museum in Phnom Penh, Cambodia introduces visitors to the history, triage, and conservation of thousands of clothes found at S-21.From 1976 to 1979, S-21 was the main detention centre during the Khmer Rouge regime, incarcerating and killing approximately 18,000 people.Clothes and fabrics circulated in the prison, collected from the prisoners and the dead and reused by guards, until these items were abandoned in the facilities at the fall of the regime in January 1979.From 2018 to 2021, with the support of the US Ambassadors Fund for Cultural Preservation and the Cambodian Ministry of Culture and Fine Arts, US textile conservator Julia Brennan devised an ambitious textile conservation and training plan in close collaboration with the in-house conservator Kho Chenda and her newly formed staff.This review discusses the specificity of this textile collection.A compelling selection of pieces supported by didactic panels in Khmer and English reveal a diversity of typologies of garments, from military accessories to male and female civilian shirts and children's clothes.The garments present distinctive features, such as extensive mending and patches, telling a history of adaptability and survival of Cambodian people in the 1970s.In doing so, the curatorial framework emphasizes the crucial importance of textile conservation in preserving these objects, standing as material testimonies for the S-21 victims.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".