Diasporic Female Subjectivity and Dissent in Margaret Atwood’s Neo-Victorian Novel Alias Grace
Bibliographic record
Abstract
This article will critically discuss the issues of diaspora, migration and subversive female individuality in Margaret Atwood’s neo-Victorian novel Alias Grace (1996). The first part will briefly consider the emerging trends of retro-Victorian, post-Victorian and neo-Victorian fictional responses by contemporary authors to revive and reinvent the Victorian world order. It will then consider how Atwood as a Canadian British writer opposes the grand metanarrative of Victorian imperialism through her subtle critique of British colonization and patriarchy in this novel which deals specifically with nineteenth century Canada. As a neo-Victorian novel, it offers a subversive critique of white Victorian mainstream neo-Victorian fictional texts that revive the British Victorian past with an unambiguous sense of nostalgia, antiquarianism and celebration. Atwood in this novel exposes the precarious and problematic lives of diasporic British women in the Victorian imperial context and exposes the dark underbelly of British racism, sexism and imperialism and renders the Victorian world order as self-contradictory, unjust and essentially problematic. Overall, this article will critically engage with marginalized female criminals and their ambivalent diasporic subjectivity in the historical context of nineteenth century Britain and Canada.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.033 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".