Runaway Slave Portraiture, Aesthetic Culture, and the Emergence of Racial Sense
Bibliographic record
Abstract
Runaway slave newspaper advertisements constitute some of the earliest visual formulations of supposedly legible racial meaning in the Americas. Numbering in the thousands, these missing persons reports contain rare pre-photographic portrayals of self-emancipated individuals “seen” by a public. By reading the advertisements with and against the grain, this essay explores the logic of seeing in these early forms of racial profiling and speculates about how descriptive language makes race feel as if it is and ought to be visible and transparent to the beholder. Racial visibility was and is produced by the layers of abstraction undertaken to represent what could already be recognized as “racial” in public culture and affirms a perceptual experience I call racial sense. A theory of racial sense is developed in this essay by reading Immanuel Kant’s aesthetic philosophy alongside Sylvia Wynter’s critique of the human. This theory of racial sense challenges the distinction between aesthetics and science as staged by the modern project of the human.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.042 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| 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".