Bibliographic record
Abstract
Much ink has been spilt on the significance of the representation of gender and gender politics in The Roaring Girl (1611), Middleton and Dekker’s play about Mary Frith, a figure well known to playgoers at the Fortune playhouse and beyond. Yet scholars have paid surprisingly little attention to the evidence that Frith herself attended, and participated in, the Prince Henry’s Men play. Whatever the nature of this ‘role’ (if it was such), arguably it is central to the issues critics have aired, and raises important questions about the play’s reception in 1611. This essay examines the surviving evidence of this tantalisingly suggestive episode, speculates about its precise circumstances, and explores its implications for our understanding of The Roaring Girl in performance. It will be proposed that whatever textual strategies the playwrights used in the quarto published in 1611 to account for Frith’s appearance, Frith was unlikely to have been a wholly comfortable collaborator. Indeed, to those well-documented accounts of Frith’s rejection of authority may be added this intervention at the Fortune, which represents a specific act of resistance to the playhouse’s attempt to contain and redefine her. Thus it is Mary Frith, rather than the actor playing ‘Moll Cutpurse’, who, in taking to the stage, plays out current critical concerns.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".