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Record W4402178975 · doi:10.3138/seminar.60.3.1

Green Dada: Avant-Garde Aesthetics and Ecocritical Theory

2024· article· en· W4402178975 on OpenAlexvenueno aff
J. Brandon Pelcher

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsnot available
Fundersnot available
KeywordsAestheticsEcocriticismArtHegemonyCulpabilityPhilosophySociologyLiteraturePolitics

Abstract

fetched live from OpenAlex

Ecocritical writer-activists have recently focused on the difficulties of representing climate, its slowly violent changes, and the ways human and more-than-human bodies inter- and intra-act within it. Though contextually dissimilar, various Dadaist aesthetics and praxes are likewise critically engaged with the intersection of deeply complex systems and their violent effects on bodies. I argue that there are useful imbrications, previously unexplored, of the ecocritical theories of slow violence and trans-corporeality in the idiosyncratic aesthetic practices of Dadaism. The Dadaist focus on “making visible” the hypercomplex culpability of ubiquitous and otherwise invisible culture, the implicit critique of traditional visual hegemony within that culture, and Dada’s use of photomontage portraiture to ironically perform the invisible and accretive violence of that culture with representations of human and more-than-human bodies productively align with recent ecocritical theories of slow violence and intra-active trans-corporeality. Dada can then be viewed to have distantly prefigured elements of these ecocritical theories.

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)0.003
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: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0080.040
Scholarly communication0.0080.005
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.056
GPT teacher head0.311
Teacher spread0.255 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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