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Record W4378650012 · doi:10.32920/23257232

Art Evolving: Analog or Digital

2023· preprint· en· W4378650012 on OpenAlexaff
Brad McLeod

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsHumanityBeautyDigital artArtVisual artsAestheticsArt historyPolitical sciencePerformance art

Abstract

fetched live from OpenAlex

Art Evolving: Analog or Digital is a short documentary film which celebrates analog and digital methods of art creation, asking the question of what our connection to the work being created is through these different materials, and alluding to the future of humanity’s relationship with technology. While a group of artists share their experiences of working between these two vastly different methods of art making, the film explores the pros and cons of both methods and then points to a potential future of artistic development. The aim of the film is to celebrate the beauty of both analog and digital methods of art creation and provoke deeper discussion and investigation into the potential of technological change, as it relates to both artistic exploration and its relationship to the human experience.

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: Other
Teacher disagreement score0.085
Threshold uncertainty score0.283

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.006
Scholarly communication0.0120.006
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0850.010

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 head0.190
GPT teacher head0.342
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
Published2023
Admission routes1
Has abstractyes

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