Rooting Intergeneration Conflict in Racism: An Examination of Disappearing Moon Cafe and The Jade Peony
Bibliographic record
Abstract
A recurring theme in Canadian diaspora literature is the problematization of cultural identity in the children of immigrants as they navigate between Western influences and their cultural heritage. My paper examines the different portrayals of second generation Chineseness in SKY Lee’s Disappearing Moon Cafe (1990) and Wayson Choy’s The Jade Peony (1995) through close reading. Although both these texts depict diaspora-matured Chinese Canadians as incorporating Western values into Chinese tradition, the elder generation’s response to this hybridity is configured differently. Through opposing representations of second generation characters’ use of the English language, Lee depicts early Chinese-Canadian Vancouver as more accommodating to amalgamated culture, while Choy’s Chinatown is hostile to Western influence. Linguistic proficiency is central to the plot of Disappearing Moon Cafe, where “Westernized” Chinese youth are depicted as masters of the English language and Western politics. This enables them to fight against repressive laws and ultimately gains them the approval of the elders, whereas the same bilingualism and biculturalism is condemned as dangerous in The Jade Peony. My paper analyzes white xenophobia in each text as the root cause of this difference in treatment; in an era where anti-Chinese sentiment is again rising, it is valuable to be aware of the far-ranging impacts of this hostility.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.033 | 0.018 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".