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Record W4297997881 · doi:10.32920/ryerson.14655441.v2

Documentation is Preservation: New Media Documentation at The Metropolitan Museum of Art

2022· preprint· en· W4297997881 on OpenAlexaff
Naoise Dunne

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsExhibitionDocumentationMetropolitan areaBest practiceWork (physics)Visual artsComputer scienceLibrary scienceArtEngineeringGeographyPolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

In 2001, The Met’s time-based media collection was first introduced with the exhibition Closed Circuit: Video and New Media at the Metropolitan, held from February 23 to April 29, 2007. This thesis focuses on applying and analyzing the validity of a series of new protocols being introduced in 2018 to The Metropolitan Museum of Art’s time-based media collection. Generated by the Met’s Time-Based Media Working Group, these best practices including new and innovative documents and best practices for preserving not only the artworks themselves, but the knowledge and procedures required to install and display these works. Using the exhibition Closed Circuit as a case study, this thesis describes and analyzes these new protocols to illustrate the value and importance of institutional and inter-departmental collaboration for compiling a multi-voice record for each work of art. .

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)0.021
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.028
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0090.005
Scholarly communication0.0090.006
Open science0.0020.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.068
GPT teacher head0.292
Teacher spread0.224 · 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 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
Published2022
Admission routes1
Has abstractyes

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