Scenography Expanded: An Introduction to Contemporary Performance Design
Bibliographic record
Abstract
An introduction to the dynamic field of performance design in and beyond the theatre, with analysis and case studies contributed by world experts in the discipline from the UK, USA, Chile, Canada, Australia, New Zealand, Germany and the Netherlands. Scenography Expanded is a foundational text offering readers a thorough introduction to contemporary performance design, both in and beyond the theatre. It examines the potential of the visual, spatial, technological, material and environmental aspects of performance to shape performative encounters. It analyses examples of scenography as sites of imaginative exchange and transformative experience and it discusses the social, political and ethical dimensions of performance design. The international range of contributors and case studies provide clear perspectives on why scenographic design has become a central consideration for performance makers today. The extended introduction defines the characteristics of 21st century scenography and examines the scope and potentials of this new field. Across five sections, the volume provides examples and case-studies which richly illustrate the scope of contemporary scenographic practice and which analyse the various ways in which it is used in global cultural contexts. These include mainstream theatre practice, experimental theatre, installation and live art, performance in the city, large-scale events and popular entertainments, and performances by and for specific communities.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.058 | 0.017 |
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".