Bibliographic record
Abstract
List of Illustrations Notes on Contributors Series Preface Editor's Acknowledgements Introduction: The Impossible Modern Age Kim Solga, Western University, Canada 1 Institutional Frameworks: Theatre, State, and Market in Modern Urban Performance Michael McKinnie, Queen Mary University of London, UK 2 Social Functions: Consumers and Producers Nicholas Ridout, Queen Mary University of London, UK 3 Sexuality and Gender: New Stories and New Spaces on the Modern Stage Kirsten Pullen, Texas A&M University, USA 4 The Environment of Theatre: 'Home' in the Modern Age Kim Solga, Western University, Canada and Joanne Tompkins, The University of Queensland, Australia 5 Circulations: Visual Sovereignty, Transmotion, and Tribalography Jill Carter, University of Tornoto, Canada, Heather Davis-Fisch,University of the Fraser Valley, USA and Ric Knowles, University of Guelph, Canada 6 Interpretations: The Stakes of Audience Interpretation in Twentieth-Century Political Theatre Dassia N. Posner, Northwestern University, USA 7 Communities of Production: A Materialist Reading with an Offstage View Christin Essin,Vanderbilt University, USA and Marlis Schweitzer, York University, Canada 8 Genres and Repertoires: Redressing the Nation in Ireland and Japan Michelle Liu Carriger,University of California, Los Angeles , USA and Aoife Monks, Queen Mary University of London, UK 9 Technologies of Performance: Machinic Staging and Corporeal Choreographies Ashley Ferro-Murray, University of California, Berkeley, USA and Timothy Murray, Cornell University, USA 10 Knowledge Transmission: Media and Memory Sarah Bay-Cheng, Bowdoin College, USA Notes Bibliography Index
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.124 | 0.020 |
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".