DIRECTING AS YOU LIKE IT: FROM CONCEPTION TO PERFORMANCE
Bibliographic record
Abstract
As You Like It is regarded as one of Shakespeare's mature comedies in that he combines both serious and comic subject matter. Hired by Bard on the Beach Shakespeare Festival in Vancouver, Canada, I was granted permission by Temple University to submit this production as my thesis. Approaching the play from an objective perspective proved initially difficult due to the vast multitude of research materials and my personal experience of having twice performed in the play. However, by analyzing Shakespeare's text, and approaching the play from the ending first, I was able to discover my unique conceit on directing the play. Set during the English Civil War, I was able to establish the necessary two worlds of the play, a Puritan Court and an English Cavalier Forest of Arden. Through a series of six chapters I explain my process from conception to production, as well, I also evaluate my growth as a director during this artistic achievement. A Director's Script, Costume Sketches, an early Set Design and Reviews support my journey to Opening Night of As You Like It.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.059 | 0.101 |
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; both teacher heads agree on what is shown here.
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".