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Avant-garde

2018· book-chapter· en· W4251266069 on OpenAlexaff
Irene Gammel

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsAvant gardeOpposition (politics)Modernism (music)CriticismLiteratureArt historyArtPostmodernismPeriodizationDialecticAestheticsHistoryPhilosophyPoliticsLawPolitical scienceEpistemologyAncient history

Abstract

fetched live from OpenAlex

The term "avant-garde" has a double meaning, denoting first, the historical movements that started in the late nineteenth century and ended in the 1920s and 1930s, and second, the ongoing practices of radical innovation in art, literature, and fashion in the later twentieth century (often inspired by the historical avant-garde and referred to as the neo-avant-garde). Within the context of modernism, historical avant-garde movements (such as Dada, Futurism, Vorticism, Anarchism, and Constructivism) radicalized innovations in aesthetic forms and content, while also engaging viewers and readers in deliberately shocking new ways. Locked in a dialectical relationship between the avant-garde and modernism, as Richard Murphy has written (1999: 3), the historical avant-garde accelerated the advent of modernism, which routinely appropriated and repackaged avant-garde experimentation in tamer forms. As the Latinate term "avant-garde" took root first France and Italy, and later in Germany and English-speaking countries, the trajectory of the avant-garde’s relationship with, or opposition to, modernism has been theorized in a myriad of different, even conflicting, ways across different cultures. Is the avant-garde an extension of, or a synonym for, modernism (as suggested in some early American criticism) or are the two concepts in opposition to each other (as proposed in Italian and Spanish criticism)?

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)0.004
metaresearch head score (Gemma)0.009
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.198
Threshold uncertainty score0.663

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0090.007
Open science0.0020.008
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.1980.182

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 head0.078
GPT teacher head0.243
Teacher spread0.165 · 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
Published2018
Admission routes1
Has abstractyes

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