Bibliographic record
Abstract
Abstract The Eaton sisters, Edith Maude (b. 1865–d. 1914) and Winnifred (b. 1875–d. 1954), were biracial authors who wrote under their respective pseudonyms, Sui Sin Far and Onoto Watanna. Raised in Montreal, Canada, by an English father and a Chinese mother, the sisters produced works that many scholars have recognized as among the first published by Asian American writers. Edith embraced her Chinese ancestry by composing newspaper articles and short stories that addressed the plight of Chinese immigrants in North America. Winnifred, on the other hand, posed as a Japanese woman and eclipsed her older sibling in popularity by writing interracial romances set in Japan. The significance of the Eaton sisters emerges from a distinct moment in American history. At the turn of the 20th century, the United States began asserting an imperial presence in Asia and the Caribbean, while waves of immigrants entered the nation as valued industrial labor. This dual movement of overseas expansion and incoming foreign populations gave rise to a sense of superiority and anxiety within the white American mainstream. Even as U.S. statesmen and missionaries sought to extend democracy, Christianity, and trade relations abroad, they also doubted that people who came to America could assimilate themselves according to the tenets of a liberal white Protestantism. This concern became evident with the passage of the Chinese Exclusion Act (1882) and the Gentleman’s Agreement (1907), legislation that thwarted Chinese and Japanese immigration efforts. The lives and writings of the Eaton sisters intersected with these broader developments. As mixed-race authors, they catered to a growing U.S. consumer interest in things Asian, acting as cultural interpreters between East and West. In doing so, however, they complicated and challenged American beliefs and attitudes about race relations, gender roles, and empire building.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.008 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".