Toward a Definition of Post-Brechtian Performance: The Example of In the Jungle of the Cities at the Berliner Ensemble, 1971
Bibliographic record
Abstract
'Post-Brechtian' is a term whose meaning is suggestive but whose terms have never been carefully defined. This article considers the implications of the post-Brechtian in performance by proposing five theses that might apprehend the term's multifarious manifestations onstage. The theses proceed from conditions of epistemological uncertainty and articulate points of confluence with and divergence from Brecht's own performance practices, which he developed at the Berliner Ensemble. Ruth Berghaus's production of Brecht's In the Jungle of the Cities at the same theatre in 1971 provides an early example of the epiphenomena associated with the post-Brechtian. The article seeks to locate the impulses that lay behind the production's performance decisions in order to generalize a series of principles that can be applied to the work of other directors, such as Robert Wilson, Christoph Marthaler, and Einar Schleef.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.047 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".