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Record W4210407600 · doi:10.5206/tba.v1i1.8043

There is nothing you can think that is not the moon

2020· article· en· W4210407600 on OpenAlexvenueno aff
Rhonda Weppler

Bibliographic record

Venuetba Journal of Art Media and Visual Culture · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicMuseums and Cultural Heritage
Canadian institutionsnot available
Fundersnot available
KeywordsObject (grammar)Ephemeral keyNothingEvent (particle physics)Visual artsComputer scienceHistoryComputer graphics (images)ArtWorld Wide WebArtificial intelligenceComputer securityPhysicsPhilosophy

Abstract

fetched live from OpenAlex

Our proposed project is a curated digital catalogue of objects which we have collected for over 20 years. Including over 400 different objects, each has been carefully photographed on all of its sides. These recorded surfaces are reconfigured digitally as if the object has been flayed and flattened, enabling the object to be printed two dimensionally. Once printed and cut out, the surfaces can be folded to create a three dimensional, realistic facsimile of the original. While the mimic lacks the actual history of the original, the duplicated aging and wear patterns persuade the viewer otherwise. Can these imposters truly conjure up the ghosts associated with the original? Is the copied souvenir capable of fulfilling the role of a real souvenir? Objects that were collected on trips, childhood favorites, marked our teenage years, or were given to us by our now-deceased grandparents, appear to provide us with a connection to our past. However, in reality they are as material bound as their paper twins.
 
 We have shown the entire collection of printed duplicates as an ephemeral installation in the form of a life-sized thrift store. Printed on translucent acetate, the objects now transformed into lanterns and were given away during a community light festival event. Dispersing the collection in this way is a play on gift giving, allowing the piece to diffuse and the objects to begin new histories.
 [See video link for installation: https://vimeo.com/341254142]
 We want to continue this idea of dispersal by posting a collection of the objects to be available for online printing, for anyone to produce themselves. Depending on space available, this collection could be a handful of curated images, or a more extensive selection. Each object would be accompanied by a small text outlining where and when the original objects was found. We have selected a few of these as examples of what the project would look like; these are on the following pages (at a lower resolution than what is possible).

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.722
Threshold uncertainty score0.997

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.062
GPT teacher head0.266
Teacher spread0.203 · 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.

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
Published2020
Admission routes1
Has abstractyes

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