Performing at Home in the Pandemic: Boca del Lupo’s <i>Plays2Perform@Home</i> Collection
Bibliographic record
Abstract
This article explores Vancouver theatre company Boca del Lupo’s Plays2Perform@Home collection. Generated as a way for audiences to bring the theatre home with them during the pandemic, the collection is composed of twenty short plays across five regional box sets, and was commissioned by Boca del Lupo in partnership with several other theatre companies across Canada. The author offers some observations and personal highlights from the collection, and reflects on what it means to perform these plays at home. She complements her analysis of the plays by drawing on her own experiences performing some of the pieces at home with her family, re-creating the intended experience of the collection. Because of the unusual circumstances of their production, Lynch suggests that it is valuable to examine the Plays2Perform@Home pieces through an immersive and site-specific lens, rather than a purely dramatic one. She argues that the plays that succeed the most in performance are those that seriously consider the experience of their audience-performers and incorporate the expected conditions of performance into their dramatic works. The article also includes a full listing of the plays in each box set.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".