Bibliographic record
Abstract
In The Chinese in Vancouver, Wing Chung Ng captures the fascinating story of the city’s Chinese in their search for identity. He juxtaposes the cultural positions of different generations of Chinese immigrants and their Canadian-born descendants and unveils the ongoing struggle over the definition of being Chinese. It is an engrossing story about cultural identity in the context of migration and settlement, where the influence of the native land and the appeal of the host city continued to impinge on the consciousness of the ethnic Chinese. The Chinese in Canada is long overdue in view of the many previous studies that tend to describe Chinese people as victims of racial prejudice and discrimination and Chinese identity a matter of Western cultural hegemony. Ng’s account gives the Chinese people their own voice and shows that the Chinese in Vancouver had much to say and often disagreed about the meaning of being Chinese. In his concluding chapter, Ng looks beyond the Canadian context by engaging in a comparative discussion of the experiences of ethnic Chinese elsewhere in the diaspora. References to the Chinese in various Southeast Asian countries and the U.S. force a rethinking of “Chineseness.” He ends with reflections about Vancouver’s Chinese community since 1980.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.020 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".