Behn’s White Innocence: Language Politics in the Dutch-Surinamese Translations of <i>Oroonoko</i> (1688)
Bibliographic record
Abstract
Aphra Behn’s Oroonoko (1688) has elicited myriad contradictory readings based on its central ideologies about race and slavery. The ambivalence within the novel has made it a popular text to adapt or translate to produce a certain politics. This essay examines two twentieth-century Dutch-Surinamese translations of the novel: H.D. Benjamins’s of 1919 and Albert Helman’s of 1983. I contextualize both translations within each author’s language politics and imperial projects, reading their work through the lens of Gloria Wekker’s notion of “white innocence.” I argue that Benjamins and Helman rely on Behn’s ethnographic authority and her white sentimentalized womanhood to produce an imperialist politics that perpetuates the long-standing myth of the Netherlands as a gentle and benevolent nation. By moving beyond the notorious politicization of Oroonoko during the nineteenth-century abolition movement, this essay sheds new light on how the novel’s ambivalent politics has been manipulated to political ends throughout history.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".