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Winnifred Eaton

2021· reference-entry· en· W4200502337 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican Literature · 2021
Typereference-entry
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsnot available
Fundersnot available
KeywordsSisterNewspaperChinaWhite (mutation)HistoryRomanceChinese americansIdentity (music)PoetryImmigrationGenealogyArt historyGender studiesArtLiteratureMedia studiesSociologyAnthropology

Abstract

fetched live from OpenAlex

Winnifred Eaton Babcock Reeve (b. 1875–d. 1954) was a Chinese North American author best known for fiction published under the faux-Japanese penname “Onoto Watanna.” In her forty-year career, Eaton published nineteen novels, many of which were critically acclaimed and translated into many languages. Eaton also published hundreds of stories, poems, and articles in US, Canadian, Jamaican, and English magazines and newspapers. She was born in Montreal to a white British father and a Chinese mother who married in China and, after brief stays in England and the United States, emigrated to Canada. Whereas Winnifred pretended to be Japanese, Eaton’s older sister Edith wrote sympathetically about diasporic Chinese using the pen name “Sui Sin Far”; with her sister Sara, Winnifred co-wrote Chinese-Japanese Cook Book (1914), one of the first Asian American cookbooks. Sara’s experiences also inspired Winnifred Eaton’s novel Marion (1916). In 1895, Eaton began her writing career working as a reporter in Jamaica. Soon afterward, she moved to Cincinnati, where she first assumed the identity of a half-Japanese, and then to Chicago. Writing as “Onoto Watanna,” Eaton published prolifically about Japanese life, exploring romantic encounters between Americans and Japanese and the experiences of mixed-race children and interracial kinship. Her Miss Numè of Japan (1898) is the first novel in English by a writer of Asian descent published in North America. In 1901, when she was living in New York, Eaton married journalist Bertrand Babcock and published her novel A Japanese Nightingale, which skyrocketed her to fame, inspiring a play, a film, and an opera. After reviewers expressed doubts about her Japanese identity, however, Eaton tried to leave Japanese subjects behind her. She submitted Diary of Delia (1907) to publishers under another pseudonym, published Me (1915) and Marion (1916) anonymously, and published one final Japanese-themed text, Sunny-San, in 1922. In 1917, after divorcing Babcock, Eaton married American businessman Francis Reeve, moved to Alberta, and rebranded herself as “Winnifred Reeve,” rancher’s wife and Canadian literary nationalist. There, Eaton wrote Cattle, a powerful naturalist novel about a girl raped by her employer, and His Royal Nibs, a romance between an English aristocrat and a young Alberta woman, and tried her hand at writing screenplays. Eaton received her first film credit in 1921 on Universal’s “False Kisses.” When the Reeves’ ranch failed, Eaton joined the East Coast scenario department of Universal, a then-minor film producer, and soon afterward was made its Hollywood editor-in-chief and literary advisor. Eaton collaborated on dozens of screenplays and adaptations, translating her experience writing Japanese romances into scripts featuring exotic locales and peoples, as well as commissioned scripts during Universal’s transition from “silents” to “talkies”. She also ghostwrote scripts for Metro-Goldwyn-Mayer (MGM). Eaton left Hollywood and returned to Alberta in 1931 after a brief estrangement from Reeve. At her death, most of Eaton’s works were out of print. Yet she remains significant to North American literary history as the first Asian American novelist and screenwriter and as an early Canadian author and woman journalist.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.736
Threshold uncertainty score0.883

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.2640.117

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.

Opus teacher head0.009
GPT teacher head0.278
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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