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Record W4248230480 · doi:10.1515/9781474457675

Deleuze, Guattari and the Art of Multiplicity

2020· book· en· W4248230480 on OpenAlexaboutno aff
Radek Przedpełski, S. E. Wilmer

Bibliographic record

VenueEdinburgh University Press eBooks · 2020
Typebook
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsnot available
Fundersnot available
KeywordsDeleuze and GuattariArt historyThe artsPoliticsArtContemporary artSociologyMAGIC (telescope)HumanitiesVisual artsPerformance artAestheticsPolitical science

Abstract

fetched live from OpenAlex

Explores the concept of multiplicity in Deleuze and Guattari’s work and its relevance to artistic practice Provides a series of philosophical encounters with the concept of multiplicity Points to the potentialities circulating in various media for social change Decolonialises our thinking about art by bypassing the mediation of the traditional western-centred art history Contributors include Mieke Bal, James Williams, Laura Marks, Gary Genosko and Eugene Holland This collection of essays from a range of philosophers and art practitioners offers tools through which we can action change across art and philosophy, across a range of media and across the theory/practice divide. Including insights from digital apps to Indigenous ritual art and from feminist and queer art to refugee performances and talismanic magic associated with Islamic Neoplatonism, this collection will decolonise your thinking about art – subverting the traditional Western-centred art history. The first section includes theoretical essays on the concept of multiplicities, on affect and politics as well as the thought of Raymond Ruyer and Gilbert Simondon – 2 key influences on Deleuze and Guattari. The second section includes applied essays on specific art practices including the plastic arts, theatre, architecture, music and folk performances. Notes on Contributors Mieke Bal , cultural theorist, critic, video artist and occasional curator. Burcu Baykan , Bilkent University, Turkey. Gary Genosko , University of Ontario, Institute of Technology in Toronto, Canada. Barbara Glowczewski , National Scientific Research Center, Collège de France, EHESS, France. Eugene W. Holland , Ohio State University, USA. Adi Louria Hayon , Tel Aviv University, Israel. Laura U. Marks , Simon Fraser University, Canada. Radek Przedpełski , Trinity College, Dublin, Ireland. Daniela Voss , University of Hildesheim, Germany. James Williams , Deakin University, Australia. S. E. Wilmer , Trinity College, Dublin, Ireland. Audronė Žukauskaitė , Lithuanian Culture Research Institute, Lithuania.

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)0.005
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0110.084
Scholarly communication0.0110.014
Open science0.0010.009
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0040.001

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 head0.045
GPT teacher head0.201
Teacher spread0.156 · 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 designTheoretical or conceptual
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

Citations6
Published2020
Admission routes1
Has abstractyes

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