Bibliographic record
Abstract
Black and Asian Theatre in Britain is an unprecedented study tracing the history of ‘the Other’ through the ages in British theatre. The diverse and often contradictory aspects of this history are expertly drawn together to provide a detailed background to the work of African, Asian, and Caribbean diasporic companies and practitioners. Colin Chambers examines early forms of blackface and other representations in the sixteenth century, through to the emergence of black and Asian actors, companies, and theatre groups in their own right. Thorough analysis uncovers how they led to a flourishing of black and Asian voices in theatre at the turn of the twenty-first century. Figures and companies studied include: Ira Aldridge Henry Francis Downing Paul Robeson Errol John Mustapha Matura Dark and Light Theatre The Keskidee Centre Indian Art and Dramatic Society Temba Edric and Pearl Connor Tara Arts Yvonne Brewster Tamasha Talawa. Black and Asian Theatre in Britain is an enlightening and immensely readable resource and represents a major new study of theatre history and British history as a whole. Chapter 1 of this book is freely available as a downloadable Open Access PDF at https://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".