What Zombie Feminist Bouffons Can Offer Applied Theatre: Seduction and Provocation in <i>Death Married My Daughter</i>
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.024 | 0.022 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".