“Between Japan and California”: Imaginative Pacific Geography and East Asian Culture in Penelope Aubin’s <i>The Noble Slaves</i>
Bibliographic record
Abstract
Penelope Aubin’s mixed-up representation of Japan and the Pacific in The Noble Slaves (1722) has long been considered as an indication of the author’s insufficient geographical knowledge. In this essay, I reassess the East Asian setting of The Noble Slaves in the context of eighteenth-century geographical discourses. By examining Herman Moll’s maps as possible source materials, I argue that Aubin’s imaginative geography reflects not her personal ignorance but the limitations and uncertainties of contemporary cartographical knowledge about the North Pacific. Aubin uses the speculative nature of early Enlightenment geographical discourses for a narrative experiment and reimagining of East Asia. Aubin’s unique representation of East Asian cultures, such as Japanese Christian “Indians” and the ancient pagan temple, hinges on the emotions of wonder and curiosity, which can be read as a criticism of Robinson Crusoe’s hostile attitude toward the Far East in Daniel Defoe’s The Farther Adventures of Robinson Crusoe (1719). This essay ultimately situates Aubin as a significant participant in early eighteenth-century knowledge production about the world.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".