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Record W4242647517 · doi:10.32920/ryerson.14663136.v1

Preserving Jeff Wall : the inherent preservation concerns of Jeff Wall's early transparencies in lightboxes

2021· preprint· en· W4242647517 on OpenAlexaffabout
Samantha Ackerley

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsTransparency (behavior)Presentation (obstetrics)Visual artsArt historyArtPortraitComputer scienceComputer security

Abstract

fetched live from OpenAlex

Canadian artist Jeff Wall (b. 1946) created, between 1978 and 2007, over 130 silver dye-bleach transparency prints mounted in lightboxes. These works typify a growing problem currently faced by collections of contemporary fine art that contain works that use unstable materials and increasingly obsolete technology, both of which directly affects the nature of the works’ presentation and preservation. This thesis focuses on Wall’s early works, created between 1978 - 1985, a period during which he was exploring how best to utilize the lightbox technique. Using the works The Destroyed Room, Double Self-Portrait, and Steves Farm, Steveston as extensively illustrated case studies, this thesis focuses on the previously undiscussed evolution of the presentation and installation of Wall’s lightboxes as well as an exploration of the “objectness” of his works which encourages an awareness and fuller understanding of the lightboxes as physical and complex objects.

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)0.001
metaresearch head score (Gemma)0.003
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: Other · Consensus signal: none
Teacher disagreement score0.136
Threshold uncertainty score0.270

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.011
Scholarly communication0.0080.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.112
GPT teacher head0.264
Teacher spread0.152 · 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
GenreOther

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
Published2021
Admission routes2
Has abstractyes

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