Racial Poetics: Early Modern Race and the Form of Comedy
Bibliographic record
Abstract
This dissertation writes a premodern history of race as an alternative literary history of comedy. This project argues that early modern generic changes in comic conventions reflect and produce a logic of race, which assign relational positions of knowingness and unknowing as naturally immutable. Renaissance comedies resembled epistemological laboratories in which to theorize the notion of knowledge itself, and the comedies of Shakespeare, Jonson, and Dekker, Middleton, and Rowley abound in theatrical technologies which create and explore differences in knowing and ignorance. Blackened skin function as a signifier of preclusion from the humanist knowledge-reservoir of “poesy”; the foreign stink wafting from a “rustic’s” tobacco-pipe signals—olfactorily—his inherent unawareness of his lack of gentility; and obstinacy and despair are constructed as fleshly, humoral signs of Jewish ignorance. <em>Racial Poetics</em> argues that developments in early modern comedy advance what I call “knowledge foreclosure,” a racial form which structurally precludes the ignorant from ever discerning the sanctioned tenets of knowledge within their play-world. Scholars have done much work to unpack the complex diversity of racialized persons in the early modern period, but relatively little attention has been paid to abstract, genre-based forms of racializing thinking. As I consider how experiments in comedies, such as <em>Love’s Labour’s Lost</em>, <em>Every Man Out of His Humour</em>, <em>The Merchant of Venice</em>, <em>and The Witch of Edmonton</em>, encode an early modern racial epistemology, this dissertation reconfigures current conversations in the field of critical race studies by demonstrating the racial stakes of aesthetic forms, in the past as well as our present.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".