Bibliographic record
Abstract
This chapter surveys twenty-eight productions of Pericles from 1947 to 2018 to see whether and how the tourney (which is off stage in the text) and the dances called for in act 2, scene 3, have been performed. Beyond their intrinsic visual and musical value, these embodied sequences contribute importantly to plot, theme, and character. Owing to the play's Eastern Mediterranean setting, they may also reveal the persistence of Orientalist tropes even in productions that seek to avoid them. In addition, the realization of the soldiers’ dance reflects varying—perhaps evolving—attitudes toward all-male dancing. The productions discussed were created by major companies in the US, the UK, and Canada; regional and “back-yard” companies; a physical theatre ensemble; and one professionally directed high school troupe, which brilliantly adapted “gangnam style” dancing for the knights. I focus on the fourteen productions I have seen in their entirety, live or via recordings. However, since choreography has not heretofore been a scholarly focus, a more detailed record of the dancing in earlier productions is provided where possible. Overall, modern productions have exploited the comic potential of these scenes, but, in the new millennium, directors have been more willing to present male dancing without winking and to avoid Orientalist representations by relocating the action or by linking it to the plight of refugees in the modern Mediterranean.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".