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Record W4297360270 · doi:10.3138/seminar.58.3.4

Theatre Meets Quantum Physics: René Pollesch’s Theatre for the Age of Technoscience

2022· article· en· W4297360270 on OpenAlexvenueno aff
Teresa Kovacs

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsnot available
Fundersnot available
KeywordsDramaTechnosciencePoliticsGermanConceptualizationEpistemologySociologyPsychoanalysisPhilosophyArtLiteraturePsychology

Abstract

fetched live from OpenAlex

This article looks closely at how the German director René Pollesch incorporates quantum physics into his theatrical practice. I argue that the double-slit experiment that Pollesch refers to in his play Probleme Probleme Probleme (2019) is key to understanding his non-representational theatre. I analyze the deep implications of this experiment for his theatre with respect to two aspects: (1) I highlight the fact that his interest in the writings of feminist and philosopher of science Donna Haraway is connected to a critique of representational theatre with its specific conceptualization of “the Human” as a Cartesian subject; and (2) in line with feminist and physicist Karen Barad, I discuss how the double-slit experiment, understood as a queer phenomenon, helps Pollesch rework central categories of drama and representational theatre. Subsequently, this allows me to conclude that Pollesch continues Bertolt Brecht’s project of a political “theatre for the scientific age” under new conditions. His theatre is a political theatre for the “technoscientific age” where “the Human” as opposed to its “Others” no longer exists. The term diffraction is key for understanding my analysis because it functions as an analytical tool that connects the aforementioned aspects. Moreover, it also describes my method of making visible the pattern that comes into being when Pollesch meets the double-slit experiment, or, more generally speaking, when theatre meets quantum physics.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScience and technology studies
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativehigh
gptScience and technology studies
Domain: not available · Genre: Other
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.068
GPT teacher head0.369
Teacher spread0.301 · 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

Labeled directly by 2 models reading the full record.

Science and technology studies

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designQualitative · Theoretical or conceptual
Domainnot available
GenreEmpirical · Other

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
Published2022
Admission routes1
Has abstractyes

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