Language and Identity: Sky Lee's "Disappearing Moon Cafe" and Wayson Choy's "The Jade Peony"
Bibliographic record
Abstract
Many critics recognize Sky Lees "Disappearing Moon Cafe" and Wayson Choys "The Jade Peony" for breaking the silence over issues that Chinese Canadians faced in the 1990s such as racism and lack of representation. However, there has not been much discussion on Lee and Choy's exploration of language and identity. These issues are important as they continue to impact Chinese-Canadians and other diasporic communities today. \n\nThe thesis explores how language in the two novels reveals that Chinese Canadians have complex and mutable identities and how notions of identity challenge the control the hegemonic powers seek to construct and restrict the Chinese identity, which in turn also restricts ideas of language. I attempt to demonstrate how these two novels resist a generic, one-dimensional view of Chinese Canadian identity and language. I conclude that Lee and Choy's novels imply that both Canadian and Chinese hegemonies influence Chinese Canadians' language and identity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.028 | 0.024 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".