Interrogating <i>Oroonoko</i>: Torture in a New World and a New Fiction of Power
Bibliographic record
Abstract
This article interrogates the function and effect of the penultimate paragraph of Aphra Behn’s Oroonoko, where Oroonoko is tortured and executed. Reading the scene through the prism of European practices of ritual punishment and judicial torture as well as New World uses of torture, I argue that the scene cannot be read, as many critics have, as one of martyrdom. Rather, the scene emerges as closer in its rhetorical aims to those articulated by Elaine Scarry in her seminal analysis of torture, The Body in Pain (1985). As is the case with judicial and modern torture, Behn deliberately produces a body in pain in order to give legitimacy to the truth of her own narrative. Yet, in opposition to that brutal practice, she simultaneously exposes the fictional nature of her own narrative power. She reminds the reader of the violence inherent in any appropriation of another’s story for one’s own political or literary ends, and in the process paradoxically produces one of the first modern, democratic subjects.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".