Bibliographic record
Abstract
One of the best-known features of William Shakespeare's Macbeth is its alias. The alias suggests that the play's Scottishness is its defining characteristic, which is debatable. Given that the eighteenth century was notable for both Shakespeare's cultural elevation and for outbreaks of Anglo-Scottish hostility, Macbeth's theatrical presentation in the period is of particular interest. When David Garrick played Macbeth in the production that dominated the London stage for a quarter of a century, he was dressed in contemporary breeches, stockings, waistcoat, and over-jacket as depicted in the portrait by Zoffany. Innovations in theatre-design in the Restoration had ensured that perspectival scenes, created by means of a series of painted, moving screens, were a standard feature of the theatrical experience. The publication of The Three Conjurors marked a new stage in the afterlife of Macbeth, at which the play's national traits became central.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".