Book Review: Timothy Raylor. <em>The Essex House Masque of 1621: Viscount Doncaster and the Jacobean Masque</em>. Medieval and Renaissance Literary Studies. Pittsburgh: Duquesne University Press, 2000.
Bibliographic record
Abstract
Moreover, Shakespeare censures Falstaff rather more sternly than McAlindon admits.Falstaff's corrupt recruiting practices in Part 2 show the character at his most reprehensible.If there is something amiss in this otherwise scrupulous study, it may be that its focus is too top-heavy in its readings of the texts.There is not quite enough here about Mouldy, Feeble, Wart, and Bullcalf.For Falstaff these men are just cannon fodder.As he cheerfully notes, 'Go to, peace, Mouldy.You shall go, Mouldy; it is time you were spent'.By structuring his argument around the political and historical theories of the time McAlindon is almost inevitably pushed towards the court and clergy.And yet Shakespeare does give a voice to the yeomen and yokels here as much as in Henry V. When the king is challenged by Williams the night before Agincourt, we know that Shakespeare means us to take note.For him the Henry plays are 'condition of England' works as surely as the novels of a later century.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.148 | 0.150 |
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".