Bibliographic record
Abstract
This introduction to the two-volume The Routledge Companion to Twentieth Century British Theatre and Performance is written when everyone involved in the project has lived through nearly a quarter of the twenty-first century. At the turn of the century in 2000, very few of us could have predicted the extremity of what lay ahead in terms of almost continuous geopolitical crisis: violent assaults arising from the contested ideologies, belief systems, and unequal resources represented by the global north and the wars and human devastation which have resulted; yet another major international economic meltdown alongside the growth of unimaginably wealthy corporations whose activities have long since ceased to be controlled within the bounds of the local interests of nation states; predictions and actual evidence of climate catastrophe. More specifically, individual research and writing and the associated editorial challenge of assembling two large collections of chapters have been conducted within the context and lingering after-effects of the Covid pandemic. It remains to be seen whether this world-wide experienced ‘event’ will be deployed by future historians as a significant temporal marker: that pre- and post-Covid will take on the same epoch-defining qualities as has been long associated with the two ‘World Wars’ of the twentieth century. What is clear are its immediate and ongoing effects on our writing and research cultures and outputs, and on many lives.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.465 | 0.233 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".