Bibliographic record
Abstract
Abstract Much has been written about Chinatowns in North America as a self-sustained community with fairly complete social institutions. Chinatowns emerged under an era of racism and discrimination and offered some degrees of protection and opportunity to the Chinese. Historically, Vancouver’s Chinatown suffered from a public image of an unhygienic and immoral neighborhood where Chinese resided and where Chinese shops and businesses congregated. This image began to change in the 1930s as the Chinese reshaped Chinatown to suit the racial ideology of a culturally exotic neighborhood that offered Oriental cuisine and festivities to Canadians. As more Chinese immigrated to Canada after World War II, a new Chinese middle class began to emerge. Although Vancouver Chinatown continued to grow and to retain the image of a tourist attraction, it has ceased to be the choice residential and business location for the Chinese. In contrast, Richmond south of Vancouver has developed into a vibrant and affluent business and residential enclave for middle-class Chinese. This article argues that the emergence and decline of Vancouver’s Chinatown have been shaped by the nature of race formation in society as well as the internal composition and social organization of the Chinese community.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 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".