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Record W2927396580 · doi:10.3138/tric.39.2.156

What Zombie Feminist Bouffons Can Offer Applied Theatre: Seduction and Provocation in <i>Death Married My Daughter</i>

2018· article· en· W2927396580 on OpenAlexvenueno aff
Kandil Yasmine, Michelle MacArthur

Bibliographic record

VenueTheatre Research in Canada · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicTheatre and Performance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipIdeologyZombieArtSociologyIntervention (counseling)Media studiesTheatre studiesAestheticsAssertionPolitical theatreGender studiesPoliticsVisual artsPsychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Starting from applied theatre scholar Adrian Jackson’s assertion that a combination of seduction and provocation is crucial to the success of authentic intervention in theatre for social change, this article looks outside of traditional Forum Theatre for a model of this practice. Using Danya Buonastella and Nina Gilmour’s bouffon clown show Death Married My Daughter as its case study, this article draws on scholarship in the areas of applied theatre and feminist theory to examine what audience engagement and intervention might look like in the unsettling times in which we live. The performers’ use of bouffon seduces and provokes their audience in order to elicit empathy for the characters, expose the presence of neoliberal and postfeminist ideologies in women’s lives, and implicate their audience in a project of socio-political change. The article concludes by suggesting what applied theatre practitioners could learn from theatre that does not require direct intervention in the action on stage but nevertheless pushes the audience out of a comfortable, passive spectatorship.

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)0.004
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: Empirical · Consensus signal: none
Teacher disagreement score0.283
Threshold uncertainty score0.563

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.022
Scholarly communication0.0100.003
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.064
GPT teacher head0.298
Teacher spread0.234 · 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
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
Published2018
Admission routes1
Has abstractyes

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