Anti-Chinese Racism and the Structure of White Supremacy: An Anti-essentialist Antiracist Perspective on Canadian History
Bibliographic record
Abstract
Racisms are among the social structures that shaped Canada’s past and are shaping Canada’s present. Anti-essentialist antiracism accounts for these structures by recognizing that there are many different racisms, but all racisms meet conditions of racialization, of the organization of racializations into exclusions, and of the enactment of negative consequences on the excluded. These conditions lead to strategies for antiracist research, which are key to rebuilding the linkages between people that racisms destroy. This paper builds a theoretically informed argument while examining the historical and present-day experiences of Chinese Canadians. Engaging with present-day realities, moving beyond common-sense explanations that individualize racism, and building on the sources of the racialized and excluded make evident the structure of racism. Chinese language sources document the “apartheiding” of Canada and its effects. They also enable the dialogical re-reading of dominant sources to pinpoint moments of organizing this structure into the world. Today, historically produced cultural narratives and the cultural landscapes of modern cities mark those racialized as Chinese as people who either do not belong or whose presence needs explanation. These narratives and landscapes are the products of the anti-Chinese racism that was built into the settler colonialism that made Canada.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".