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- Title
Scribe: Machine Learning, Parafiction, and the Perversion of Practice.
- Authors
Dyer, Mark
- Abstract
Scribe (2022) is a choral work for three voices. It is a multidisciplinary project that encompasses paleography, machine learning, transcription, and performance. Furthermore, Scribe is a work of parafictional art where fact and fiction overlap, conventional practices of paleography and edition-making are playfully reconfigured, and supposed historical authenticity is employed as a compositional material. This paper describes the creative processes in the making of Scribe before evaluating aspects of the uncanny and material agency. It draws upon autoethnographic analysis before contextualizing this within the psychoanalytical criticism of philosopher Slavoj Žižek.
- Subjects
MACHINE learning; SCRIBES; PALEOGRAPHY; TRANSCRIPTION; AUTOETHNOGRAPHY; PSYCHOANALYSIS; MUSICAL composition
- Publication
Leonardo, 2023, Vol 56, Issue 5, p534
- ISSN
0024-094X
- Publication type
Article
- DOI
10.1162/leon_a_02363