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Record W2092207692 · doi:10.7202/1026201ar

L’impossible « chambre des horreurs » du Museum of Ornamental Art : une archéologie du design criminel

2014· article· en· W2092207692 on OpenAlexaffvenue
Marie-Ève Marchand

Bibliographic record

VenueRACAR Revue d art canadienne · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsExhibitionArtVisual artsArt historyOrnamentsStyle (visual arts)

Abstract

fetched live from OpenAlex

In 1852, the Museum of Ornamental Art, today the Victoria and Albert Museum, opened its doors to the public. Taking part in a general reform of the British art and design education system, the museum sought to instill what were considered good design principles. To do so, a museographic strategy that proved to be as popular as it was controversial was chosen: the exhibition gallery entitled “Decorations on False Principles,” which immediately became known as the “Chamber of Horrors.” This gallery, a dogmatic expression of the functionalist conception of ornament advocated by the museum, referred through its nickname to another then famous Chamber of Horrors, the one in Mme Tussaud’s wax museum. In this paper, I will first argue that the Museum of Ornamental Art’s Chamber of Horrors is an early example of the association of ornament with crime that reappears in later design theories. Second, by examining the means taken to transmit the idea of the criminalization of ornaments designed after “bad principles,” I demonstrate why the concept of the Chamber of Horrors is in itself doomed to failure. I thus analyze this uncommon exhibition as a manifestation of the museum’s aesthetic philosophy and mechanisms at a time when the institution’s modalities were still in the process of elaboration.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0080.022
Scholarly communication0.0160.006
Open science0.0010.004
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0130.002

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 head0.063
GPT teacher head0.193
Teacher spread0.129 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2014
Admission routes2
Has abstractyes

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Same venueRACAR Revue d art canadienneSame topicHistorical Art and Culture StudiesFrench-language works237,207