Bibliographic record
Abstract
Adaptations of Shakespeare’s work are nothing new, but to what extent theatre practitioners should be able to take liberties with Shakespeare’s original texts is hotly debated. Emma Rice’s 2016 modern-dress production of A Midsummer Night’s Dream was a raucous send-up of the beloved classic that took an irreverent attitude towards the original text. Rice, along with dramaturg Tanika Gupta added plain-English lines alongside the Elizabethan text, a controversial move among Shakespeare purists. Julie Taymor’s 2014 version of the same play did not alter the text in any way, but it did take a backseat to the visual elements of the show which included projections, use of a fly, and a striking stylistic cohesion. In this paper, I explore how both Taymor and Rice’s respective productions of A Midsummer Night’s Dream operate within the postdramatic – that is, their respective choices to move beyond using Shakespeare’s original text as the central element of performance. Using Hans-Thies Lehmann’s framework, I will examine how these productions exemplify the “perpetual conflict between text and scene” (Lehmann 145) that infuse elements of the postdramatic into these productions.
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 | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".