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Record W4414616768 · doi:10.15304/quintana.24.10888

Addressing sexual violence and feminicides in museums

2025· article· en· W4414616768 on OpenAlexaboutno aff
Elke Krasny, Lara Perry

Bibliographic record

VenueQuintana revista do Departamento de Historia da Arte · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsRedressSexual violenceHuman rightsVocabularyPoliticsSexual abuseOrder (exchange)

Abstract

fetched live from OpenAlex

The role of museums in addressing different forms of conflict and violence is a growing concern. In this essay we bring the language not just of violence but of gender and sex-based violence into the analysis of museum content. We have adopted conceptual frameworks provided by feminist activism as well as legal and social studies, including the vocabulary of sexual violence and feminicide, in order to bring visibility to the relationships that structure museum collections and displays with the politics of gender, violence and feminicide. We also test the use of these concepts in a way that attends to their specific and local significance in examples of museum practice. We explore examples including the Jack the Ripper Museum in London England; the War and Women’s Human Rights Museum in Seoul, South Korea; and artist Jaime Black-Morsette’s REDress project (2010-ongoing) which has been exhibited in national museums in Canada and the United States. The conclusion considers the importance of museums as a platform for the recognition of struggles against sexual violence and feminicides, even as they remain fundamentally tied to patriarchal structures.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.930
Threshold uncertainty score0.907

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.295
Teacher spread0.240 · 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
Published2025
Admission routes1
Has abstractyes

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