Discoveries and Recoveries in the Laboratory of Georgian Theatre
Bibliographic record
Abstract
For a four-month period in 2010 David Francis Taylor worked as a research consultant with the Theatre Royal at Bury St Edmunds, the only working Regency playhouse in Britain. In this article Taylor reflects upon the experiences and insights he acquired over the course of this collaboration. In particular, he indicates how the theatre's restaging of the neglected repertory of the long eighteenth century within the Georgian space of performance can aid theatre historians in understanding the intricate dynamics of the period's theatre architecture and, crucially, the position and agency of its spectatorships. David Francis Taylor is Assistant Professor of English at the University of Toronto. His book Theatres of Opposition, which concerns the theatricality of politics in the career of the playwright-parliamentarian Richard Brinsley Sheridan, will be published next year by Oxford University Press. He has published articles in Eighteenth-Century Studies, European Romantic Review, and the Keats-Shelley Review, and is currently co-editing, with Julia Swindells, the Oxford Handbook to the Georgian Playhouse.
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 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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.026 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".