Bibliographic record
Abstract
As a second-generation Chinese Canadian immigrant, I reflect on and respond to my first encounter with Chinese Canadian literature: Carrianne Leung’s The Wondrous Woo. The Wondrous Woo is a YA novel following a Chinese girl, Miramar, who resides in the suburbs of Toronto as she navigates through university, relationships, and family hardships. My lack of exposure to Chinese Canadian literature combined with my desire to see Asian Canadians represented in popular media creates certain expectations for the novel. When The Wondrous Woo fails to represent my own experience of cultural hybridity, I find myself grappling with feelings of anger and frustration. The narrative forces me to ask whether novels like The Wondrous Woo can sustain novel quality while encouraging readers to explore complex dimensions of a diverse society, or if they address racism using stories with hidden objectives to commodify Chinese culture. By reading The Wondrous Woo through Nai-Hua Kuo's article "Depictions of Chinese Americans in Young Adult Literature," to problematize what it means for a novel to be a quality multicultural text, I begin to gain a new understanding of what Carrianne Leung is trying to illustrate in The Wondrous Woo.
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 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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.054 | 0.024 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.009 |
| 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".