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Record W4378194355 · doi:10.7202/1099889ar

Bathtub Dramaturgy: An Experimental Syllabus for Theatre and Performance Studies Classrooms

2023· article· en· W4378194355 on OpenAlexvenueno aff
Chloë Rae Edmonson

Bibliographic record

VenuePerformance Matters · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSyllabusDramaturgyPresentation (obstetrics)BathtubExpansiveTheme (computing)PedagogyUnit (ring theory)Mathematics educationSociologyPsychologyComputer scienceArtVisual artsWorld Wide WebHistory

Abstract

fetched live from OpenAlex

This annotated syllabus proposes an undergraduate course designed to develop dramaturgical methods around a common theme. While the course focuses on performances in and around bathtubs, the ultimate goal of this essay is to put forward methods that can be applied across an expansive range of theatre and performance studies topics. Each unit in the proposed course explores a different facet of dramaturgical practice with corresponding assignments that challenge students to practise essential research, writing, and communication skills. These assignments culminate in a final project: the presentation of students’ own devised bathtub performances. This syllabus, aiming toward a restorative pedagogy, imagines a future in-person classroom where students can collectively explore the relationship between public and private through bathtubs as a microcosm for the complexity of human experience.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0020.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0210.004

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 head0.049
GPT teacher head0.282
Teacher spread0.233 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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
Published2023
Admission routes1
Has abstractyes

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