Digital Spoken Word Theatre in the UK: Navigating the Theatre Screen with Rose Condo’s <i>The Geography of Me</i>
Bibliographic record
Abstract
Abstract Spoken word theatre appeared on the scene of British poetry performance in the 1990 s. The art form privileges the (hyper-)visibility of the poet-performer where practitioners present their work in their customary style in a long form live show. In the course of the COVID-19 pandemic, several previously on-site shows moved to the domain of the digital. In this article, I explore four types of such virtual adaptations by women practitioners with emphasis on performance strategies and the politics of visibility. I then engage in an in-depth analysis of The Geography of Me by UK-based Canadian poet Rose Condo to study the salient features and discontents of digital spoken word theatre and Condo’s use of pre-recorded material. I also examine how this strategy negotiates the expectation of visibility of a gendered body in spoken word theatre. I argue that the use of pre-recorded material helps control the unpredictability of online performance conditions and mitigates the risks associated with performing traumatic narratives.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".