Dependently Generative Empty Stages Theory of Ontology of Dance-Work

This essay presents Dependently Generative Empty Stages (DGES) theory to explain the ontology of dance work as an artifact. This essay critiques the views within analytical ontology art works that treat repeatable works such as music and dance as fixed "types" or "space-time worms". Because these views maintain the art work integrity over time. This work argues that the bodily and fluid nature of dance art invalidates these continuity-based approaches. The essay primarily argues that the conservative views of Nicholas Wolterstorff, who defines artwork as a norm-based fixed type (Norm-Kind), and Nurbay Irmak, who defines it as a created abstract artifact, don’t meet to explain the concrete and variable reality of dance. The essay also argues that the "Perdurantism" model proposed by Ben Caplan and Carl Matheson imposes an artificial ontological unity on radically different performances when applied to dance. In this context, the essay proposes a new model that synthesizes Theodore Sider's metaphysical "Stage Theory" (Exdurantism) with the Buddhist principle of "Dependent Co-Arising" (Pratītyasamutpāda). According to this model, the dance work is a decentralized, scattered cluster of generative stages. Each performance is ontologically autonomous but emerges causally dependent on the previous stage. Therefore, different performances are not parts of the "same" work. As David Lewis describes, different performances separated only by a "Counterpart Relation" and their identities are established through the viewer's gaze and convention.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-20
DOI
https://doi.org/10.5281/zenodo.19133082
Primary Topic
Diversity and Impact of Dance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dependently Generative Empty Stages Theory of Ontology of Dance-Work

Nelin Beste Eryilmaz
Zenodo (CERN European Organization for Nuclear Research)
Diversity and Impact of Dance
article

Dependently Generative Empty Stages Theory of Ontology of Dance-Work

Nelin Beste Eryilmaz
article en

Abstract

This essay presents Dependently Generative Empty Stages (DGES) theory to explain the ontology of dance work as an artifact. This essay critiques the views within analytical ontology art works that treat repeatable works such as music and dance as fixed "types" or "space-time worms". Because these views maintain the art work integrity over time. This work argues that the bodily and fluid nature of dance art invalidates these continuity-based approaches. The essay primarily argues that the conservative views of Nicholas Wolterstorff, who defines artwork as a norm-based fixed type (Norm-Kind), and Nurbay Irmak, who defines it as a created abstract artifact, don’t meet to explain the concrete and variable reality of dance. The essay also argues that the "Perdurantism" model proposed by Ben Caplan and Carl Matheson imposes an artificial ontological unity on radically different performances when applied to dance. In this context, the essay proposes a new model that synthesizes Theodore Sider's metaphysical "Stage Theory" (Exdurantism) with the Buddhist principle of "Dependent Co-Arising" (Pratītyasamutpāda). According to this model, the dance work is a decentralized, scattered cluster of generative stages. Each performance is ontologically autonomous but emerges causally dependent on the previous stage. Therefore, different performances are not parts of the "same" work. As David Lewis describes, different performances separated only by a "Counterpart Relation" and their identities are established through the viewer's gaze and convention.

Zenodo (CERN European Organization for Nuclear Research)
Boğaziçi University (TR)
Reduced inequalities
Openalex Percentile: Top 18%
Diversity and Impact of Dance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.