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Record W1997778020 · doi:10.1179/019713608806112223

Impermanence and Entropy: Collaborative Efforts Installing Contemporary Art

2008· article· en· W1997778020 on OpenAlexfundno aff
Miriam Basilio, Sydney M. Briggs, Roger Griffith

Bibliographic record

VenueJournal of the American Institute for Conservation · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
FundersMinistry of Minority AffairsYork University
KeywordsExhibitionInstallation artObsolescenceVisual artsVisitor patternEphemeral keyMuseologyModern artArtEngineeringComputer scienceVisual arts educationArt historyThe artsStudio artBusinessPerformance art

Abstract

fetched live from OpenAlex

Contemporary art exhibitions Increasingly include artworks that vary in size and weight, are ephemeral in nature, organic in expression, sometimes deceptively frail, purposefully disorganized, or obsessively detailed. The ways in which curators, conservators, registrars, and exhibition designers are engaging in active collaboration with artists to realize complex conceptual installations are illuminated in these case studies from Tempo, an exhibition organized by The Museum of Modern Art in 2002. This article discusses how the museum's standards of exhibition preparation and installation, as well as conservation treatments and maintenance, were adapted. A simple shipment of material introduced a need to understand international trade law; ubiquitous technology provided a crash course on consumer-driven obsolescence; and the artist's intent, as well as notions of authorship, inspired inquiry into the relationship between the museum and the artist. Despite long-standing tradition in approaches to installation planning and display, The Museum of Modern Art staff embraced the challenges and recognized the effectiveness of working collaboratively.

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 score0.596
Threshold uncertainty score0.327

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 studies0.0000.001
Scholarly communication0.0000.001
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 head0.041
GPT teacher head0.240
Teacher spread0.200 · 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

Citations4
Published2008
Admission routes1
Has abstractyes

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