Bibliographic record
Abstract
espanolDurante el siglo XX surge en Estados Unidos y Canada un fenomeno teatral que pervive en nuestros dias: los festivales de Shakespeare, que ponen en escena cada verano las obras del dramaturgo ingles. Los festivales de Oregon, Stratford Ontario y Shakespeare in the Park (Nueva York) fueron los pioneros de un movimiento conformado por cientos de festivales. Dichos festivales han dado lugar a acontecimientos teatrales con caracteristicas propias, entre las que destacan su uso del espacio, el publico potencial al que estan dirigidos y las formulas empleadas para poner las obras en escena. Este articulo analiza el fenomeno de los festivales de Shakespeare en Norteamerica, introduciendo su historia desde los origenes de los festivales de Oregon, Stratford y el Shakespeare in the Park, con el objeto de dilucidar como estos y otros festivales contemporaneos han generado formulas propias para la representacion de la obra de Shakespeare. EnglishIn the 20th century, dozens of Shakespeare festivals flourished across the United States and Canada, giving rise to a phenomenon that now accounts for hundreds of festivals in the two countries. The Oregon Festival, the Stratford Ontario Festival and the Shakespeare in the Park (New York) can be considered the pioneers of this movement, influencing many other festivals. These festivals have generated theatrical events typified by their use of space, their outreach, target audiences and their approach to Shakespeare in performance. This article discusses Shakespeare festivals in North America using the cases of the Oregon, Stratford and Shakespeare in the Park festivals to elucidate how these and other contemporary festivals have generated their own formulae to stage Shakespeare’s works.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.021 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".