Bibliographic record
Abstract
Examining Margaret Atwood's work in the context of the complex history of the Bildungsroman, Ellen McWilliams explores how the genre has been appropriated by women writers in the second half of the twentieth century. She demonstrates that Atwood's early work - her own 'coming of age' fiction, including unpublished works as well as The Edible Woman, Surfacing, and Lady Oracle - both engages with and works against the paradigms of identity which are traditionally associated with the genre. Making extensive use of unpublished manuscripts in the Atwood Collection at the University of Toronto, McWilliams uncovers influences that shaped Atwood's fashioning of identity in her early novels, paying particular attention to Atwood's preoccupation with survival as a key symbol of Canadian literature, culture, and identity. She also considers the genre's afterlife on display in Cat's Eye, The Robber Bride, Alias Grace, The Blind Assassin, and Moral Disorder, in which the formulations of selfhood and identity in Atwood's early fiction are revisited and developed. Atwood emerges as a writer who self-consciously invokes and then undercuts the traditions of the Bildungsroman, a turn that may be read as a means of at once interrogating and perpetuating the form. McWilliams's book furthers our understanding of subjectivity in Atwood's fiction and contributes to ongoing conversations about the role gender and cultural contexts play in reframing generic boundaries.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".