Sara Jeannette Duncan’s “Canadian Editions”: Imperial Authorship, Novel Innovations, and Literary Feminism in Cousin Cinderella
Bibliographic record
Abstract
This article examines the publishing conditions and reception history of Sara Jeannette Duncan’s satirical novel Cousin Cinderella: A Canadian Girl in London (1908). It contends that Duncan’s understanding of her reading audiences, and the gendered expectations of a woman writing in the early twentieth century, allowed her to advance the novel genre in an English imperial literary market. Cousin Cinderella foregrounds the circulation of people and printed material and is interested in their reading and interpretation through the networked connections that empire engenders. Indeed, Duncan’s global mobility and her perspective on Canada as a rejuvenating racial and economic presence in an enlarged world led her to the type of generic experimentation discerned in Cousin Cinderella and to a lesser extent The Imperialist of 1904. In Cousin Cinderella, Duncan extends both novelistic romance and realism through the trope of female authorship and the novel’s allegorised character Mary Trent. Through Mary, Duncan features women in race-making and nation-making projects, where sentimental marriage functions allegorically for practical political and economic ends. And like Mary, Duncan considered herself attached to Canada, as she established success in a market dominated by male authors and metropolitan markets. This article on an understudied novel in Duncan’s oeuvre brings together a study of authorship, literary analysis, and cultural history to contextualise and elucidate Duncan’s path-breaking career.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.032 | 0.027 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".