Activism and Assimilation: The Political Memoirs of Olivia Chow and Adrienne Clarkson
Bibliographic record
Abstract
While the history of Chinese settlement in Canada is touted as an example of perseverance despite racist opposition and of socio-economic success under Canada’s immigration and multiculturalism policies, it is important to remember the very active role that Chinese Canadians played in their own trajectory. Throughout its history, the Chinese Canadian community has engaged in civic and political activism, on the one hand, and the promotion of positive stereotypes associated with assimilation into Euro-Canadian society on the other. Both of these approaches can be seen in the political memoirs of two prominent Chinese Canadian women: My Journey by Olivia Chow, a Member of Parliament who focused her career on a plethora of social justice initiatives; and Heart Matters by Adrienne Clarkson, a former Governor General who deemphasizes her Chinese heritage in order to mould herself into the ideal Canadian citizen. Despite these clear differences in political ideology and personal identity, both Chow and Clarkson’s memoirs reveal the ways in which Chinese Canadians can not only claim full belonging as Canadian citizens, but also interrogate systemic forms of racism and inequality.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.038 | 0.025 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.008 |
| 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".