Bibliographic record
Abstract
More volumes on 'Deleuze and Artistic Research': Machinic Assemblages of Desire The Dark Precursor (Two-Volume Set) Unique focus on the relation between artistic research and the philosophy of Gilles Deleuze Aberrant Nuptials explores the diversity and richness of the interactions between artistic research and Deleuze studies. “Aberrant nuptials” is the expression Gilles Deleuze uses to refer to productive encounters between systems characterised by fundamental difference. More than imitation, representation, or reproduction, these encounters foster creative flows of energy, generating new material configurations and intensive experiences. Within different understandings of artistic research, the contributors to this book—architects, composers, film-makers, painters, performers, philosophers, sculptors, and writers—map current practices at the intersection between music, art, and philosophy, contributing to an expansion of horizons and methodologies. Written by established Deleuze scholars who have been working on interferences between art and philosophy, and by musicians and artists who have been reflecting Deleuzian and Post-Deleuzian discourses in their artworks, this volume reflects the current relevance of artistic research and Deleuze studies for the arts. Contributors: Suzie Attiwill (RMIT University), Sara Baranzoni (Universidad de las Artes of Guayaquil), Zsuzsa Baross (Trent University), Terri Bird (Monash University), Ronald Bogue (University of Georgia), Barbara Bolt (VCA University of Melbourne), Peter Burleigh (University of Basel / HGK, Basel), Edward Campbell (University of Aberdeen / Centre for Modern Thought), Marianna Charitonidou (University of Paris West Nanterre / National Technical University of Athens), Jean-Marc Chouvel (Paris-Sorbonne University), Guillaume Collett (University of Kent), Zornitsa Dimitrova (University of Münster), Lilija Duobliene (University of Vilnius), Andrea Eckersley (RMIT University), Anders Elberling (visual artist), Lucia D’Errico (Orpheus Institute), Bracha L. Ettinger (artist, painter, theorist), Henrik Frisk (Royal Academy of Music Malmö), jan jagodzinski (University of Alberta), Oleg Lebedev (Université Catholique de Louvain), Gustavo Penha (University of São Paulo), Katie Pleming (King’s College London), Liana Psarologaki (University of Suffolk), Emilia Marra (University of Trieste), Tero Nauha (Helsinki Collegium), Stefan Östersjö (Orpheus Institute), Simon O’Sullivan (theorist, artist), Antonia Pont (Deakin University), Elisabeth Presa (University of Melbourne), Spencer Roberts (University of Huddersfield), Jonas Rutgeerts (dramaturge, performance theorist), Anne Sauvagnargues (University of Paris Ouest Nanterre La Défense), Janae Sholtz (Alvernia University), Steve Tromans (musician, independent researcher), Kamini Vellodi (University of Edinburgh), Paolo Vignola (Universidad de las Artes of Guayaquil), Audronė Žukauskaitė (Lithuanian Culture Research Institute). This publication is GPRC-labeled (Guaranteed Peer-Reviewed Content).
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.914 | 0.812 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".