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Record W1558896576 · doi:10.7238/a.v0i2.681

Avant-garde as Software

2002· article· en· W1558896576 on OpenAlexaboutno aff
Лев Манович

Bibliographic record

VenueArtnodes · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicPhotographic and Visual Arts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtNova scotiaArt historySociologyEthnology

Abstract

fetched live from OpenAlex

L'article analitza la singularitat de la revolució dels nous media i la compara amb la revolució avantguardista en el disseny, el cinema i les arts visuals que es va esdevenir als anys deu i vint. L'autor argumenta que les tècniques avantguardistes dels anys vint es van transformar en convencionalismes del programari i la interfície de l'ordinador i reivindica que, en realitat, els nous media representen una nova avantguarda per a la societat de la informació, encara que facin servir formes modernes antiquades. Si l'avantguarda dels anys vint va sorgir amb formes noves per als nous media de l'època (fotografia, cinema, la nova impremta i tecnologies arquitectòniques), la nova avantguarda dels media presenta maneres radicalment innovadores d'utilització dels media ja existents. Així, les tècniques informàtiques que permeten accedir als media, manipular-los i analitzar-los constitueixen la nova avantguarda.

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)0.006
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: none
Teacher disagreement score0.026
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0100.010
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0260.007

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 head0.061
GPT teacher head0.249
Teacher spread0.188 · 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

Citations46
Published2002
Admission routes1
Has abstractyes

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