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Record W4378906710 · doi:10.38055/fs040202

Exhibition Review: Remembering S-21 Victims Through Their Clothes

2023· article· en· W4378906710 on OpenAlexvenueno aff
Magali An Berthon

Bibliographic record

VenueFashion Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCambodian History and Society
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionClothingVisitor patternTextileChristian ministryVisual artsGenocideHistoryArtLawPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

<p>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.</p>

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.

How this classification was reachedexpand

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.930

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.137
GPT teacher head0.387
Teacher spread0.250 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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