Book Review: Laurie E. Maguire. <em>Studying Shakespeare: A Guide to the Plays</em>. Oxford: Blackwell, 2004.
Bibliographic record
Abstract
Significant categories of dramatic improvisation necessarily elude the approaches of one section of a single volume.One such, that incidentally undermines Klausner's sweeping claim that 'planned improvisation was not influenced in any way by the Italian commedia tradition' (283), is extended virtuoso solos of the type of Launce's entry scene in Two Gentlemen of Verona, 2.3.Also missing are two welcome components of multi-author interdisciplinary books: a bibliography, and brief details on individual contributors.However, the admirably comprehensive index guides readers through a volume in which every section illuminates aspects of improvisation's mediation between artistic creation and live performance.Of interest to scholars of theatre as a whole, as well as for its introduction and drama contributions, it unites distinguished scholars at the forefront of several disciplines in emphasising that, in the period before 1700, improvisation and orality underpinned a multiplicity of performance spheres.Their timely insights earn it shelf-space in every serious library of early theatre.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.105 | 0.105 |
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".