'This alters not thy beauty': Face-paint, Gender and Race in Richard Brome's The English Moor
Bibliographic record
Abstract
Richard Brome’s The English Moor (1637) is treated traditionally as a play about race, since the crux of the play’s main plot relies upon the application and removal of black face paint. This article, however, repositions the play critically within a social discourse that is focused upon the management of the female body: the discourse of cosmetics. Creating a context for the social debate about cosmetics, the article suggests that the play is concerned more with the materiality of face paint and its relationship to the moral condition of the women (Millicent and Phyllis) wearing makeup. Without denying the play’s preoccupation with racial Otherness that blackness arouses, the article questions the centrality of race and locates at its centre instead the question of gender. Arguing that the white/black binary is a crucial dynamic in considerations of female chastity, this article suggests that the fear blackness expressed by Millicent has less to do with the transformation of her racial identity than with her sexual identity.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.014 | 0.021 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".