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.\nFigures 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. \nBlack 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.
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 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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".