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Record W2756490695

The Subject of Music as Subject of Excess and Emergence: Resonances and Divergences between Slavoj Zizek and Bjork Guðmundsdottir

2017· article· en· W2756490695 on OpenAlexaff
Jérôme Melançon, Alexander Carpenter

Bibliographic record

VenueInternational journal of Žižek studies · 2017
Typearticle
Languageen
FieldPsychology
TopicPsychoanalysis, Philosophy, and Politics
Canadian institutionsUniversity of AlbertaUniversity of Regina
Fundersnot available
KeywordsSubject (documents)SubjectivityMusicalEpistemologyOrder (exchange)ContradictionPerspective (graphical)PhilosophyAestheticsSociologyLiteratureComputer scienceArtArtificial intelligence
DOInot available

Abstract

fetched live from OpenAlex

In answering the question “who is the subject of music,” we argue that it is a subject of excess and emergence, and we rely on the definition and development of these terms by Žižek and Bjork. Such a subject is movement and activity; it exceeds the experiences, objects, others and symbolic order that make it who it is; and it emerges through desire and drive, and resonance and animation. We open with a brief discussion of Žižek’s subject of excess, which we then relate to his approach to subjectivity in music. After an analysis of Bjork’s music, centered on the piece “Black Lake” and from a perspective informed by Žižek’s account of subjectivity, we shift our attention to Bjork’s thoughts on music in order to find elements that allow for the development of a subject of emergence. While the elements of excess and emergence are present in both accounts of the subject, Žižek’s and Bjork’s respective focus on one of these concepts allow us to develop a fuller picture of subjectivity, particularly but not exclusively as it is engaged with in musical activities.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.102
GPT teacher head0.437
Teacher spread0.335 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2017
Admission routes1
Has abstractyes

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