Valdemoros, Ana, and David Amelang, project dirs. Crossdressed Characters in Early Modern European Theatre
Bibliographic record
Abstract
de Madrid, Crossdressed Characters aims to curate a collection of transgender and cross-gender characters within the early modern European dramatic canon.The data that underpins this collection is derived from the larger Rolecall database, a project that itself seeks to chart gendered language used by characters in early modern European theatre.Crossdressed Characters takes this notion of gender in speech and performance even further, however, by focusing on characters that perform onstage in costume not typically associated with their perceived gender.Employing a transnational approach to early modern theatre, this database provides a useful resource for scholars and practitioners beginning to explore and understand gender performance in early modern drama.Furthermore, this resource comes at a time when illuminating these cross-gender performances is more important than ever.Because Crossdressed Characters is hosted and powered by Rolecall, it is, perhaps, useful to first briefly discuss this larger resource.The overall aim of Rolecall is to chart visually the speech of characters in early modern European theatre within the sixteenth and seventeenth centuries.More specifically, Rolecall allows users to visualize the proportions of lines given to female and male characters in order to examine aspects of protagonism.While the Rolecall site houses both the Rolecall and Crossdressed Characters databases, it is clear that Crossdressed Characters is an extension of the main Rolecall project, which is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.Because Crossdressed Characters is hosted by Rolecall, it appears that it, too, falls under this license.Roles are selected for inclusion in Crossdressed Characters based on inclusion in Rolecall, which thus far features sixteenth-and seventeenthcentury plays from England, France, Germany, Italy, the Netherlands, Portugal, and Spain.Tracking gendered speech in early modern plays is inevitably a
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.092 | 0.026 |
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".