Macbeth: Presented by the Stratford Festival of Canada at the Festival Theatre, Stratford, Ontario
Bibliographic record
Abstract
Macbeth Presented by the Stratford Festival of Canada at the Festival Theatre, Stratford, Ontario. August 14-October 29, 2004. Directed by John Wood. Designed by John Ferguson. Lights by Gil Wechsler. Compositions by Alan Laing. Sound by Wade Staples. With Graham Abbey (Macbeth), Lucy Peacock (Lady Macbeth), Walter Borden (Duncan), Gareth Potter (Malcolm), Sean Arbuckle (Banquo), Michael McLachlan (Macduff), Sarah McVie (Lady Macduff), and others. Director John Wood delivered a straightforward, well-performed Macbeth, tightly focused on the title character and his Lady. Wood elected to minimize the paranormal and instead concentrated on the human elements of the tragedy and the effects of hyper-ambition on Macbeth and Lady Macbeth. The choice, however, deprived the play of most of its inherently sinister mood and sense of supernatural seduction. In Wood's production, the witches were more wayward than weird--they seemed simply to be elderly women dressed in rags and spouting vague prophesies. They seemed a natural part of the blasted heaths of Scotland, and there was little sense of sorcery or witchcraft in their appearance or actions. Lost was any feeling of entrapment by external forces; these witches only fortified ideas already within Macbeth's mind. In 2.1, when Macbeth, in an open, billowy white shirt, pondered the dagger and the bloody regicide it offered, Graham Abbey's thane literally wielded a dagger and spoke directly to it. The choice was clearly Macbeth's, his fate firmly within his own hands, and not a supernatural specter that might seduce and destroy both the King and him. The straightforward approach came across as sluggish and unexciting. When Macbeth came to his 3.4 celebratory table after ordering the death of his friend Banquo, the audience did not gasp with horror (as did Macbeth) at the image of a bloodied ghost. Instead of from Macbeth's point of view, we only witnessed the scene from the perspective of the confused banquet guests as the King strangely shouted at an empty chair. Without the visceral image of a slain friend, the scene lacked power as well as tension, and was simply uncomfortable. The coming of Birnam Wood in 5.5 was also presented in a perfunctory manner, with only a brief glimpse of Malcolm's soldiers hiding behind branches. Abbey presented well the personal consequences of Macbeth's actions, and Wood's conception worked to a degree, but this was the Scottish play, potentially fierce and terrifying, and the audience was deprived of eerie spectacle and a chilling descent into hell. …
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".