Bibliographic record
Abstract
Multiculturalism in Canada has created many hybrid identities among the children of immigrants. The novels of second-generation writers often reflect this reality. This presentation examines the function of epigraphs and its allusions to traditional customs, classics, and oral legends in The Wondrous Woo by Carrianne Leung. Miramar Woo, the protagonist and daughter of immigrants from Hong Kong, imagines a world of magical realism in the suburbs of Scarborough to encapsulate the space that lies between Canadian and Chinese culture. The novel is divided into chapters with each chapter introduced by an epigraph associated with Chinese-cultural references which is suggestive—although separate from the main narrative. An epigraph ironically references Tomb-sweeping to show the importance of ancestry and juxtaposes it to make sense of death. Classical allusions to the Monkey King act as a tool to express views toward love interests. Oral legends of the Snake Sisters exemplifies sibling interactions. Furthermore, the omission of an epigraph in the novel’s final chapter performs the same function—to not only create tension, but also give perspective to Miramar’s fluid experience. The epigraphs perform as a structural framework that capture the essence of Chinese traditions and channels them towards Miramar’s experience as a “hybrid” Chinese Canadian. The significance of the epigraphs is not to emphasize dissonance in the reference, but rather the epigraphs act as a tool to show how Miramar understands the world as a Chinese Canadian in response to her alienation from dominant society.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.014 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".