Asian Conservatives in Canada's Parliament: A Study in Race and Governmentality
Bibliographic record
Abstract
This dissertation argues that the political integration of the figure of the Asian Conservative MP has become part of racial governmentality, a part, that is, of how racial minorities are governed. In Canada, official multiculturalism emerged and evolved as the dominant discourse to regulate political heterogeneity. My research finds that the neoliberalization of multicultural discourse as led by the Reform Party of Canada has configured the Asian Conservative member of parliament (MP) as the upwardly-mobile, bootstrap-immigrant, difference-that-integrates into the modern polity. Insofar as multiculturalism as incorporation is a project of assisting racial others into modernity, it requires the utter exclusion of those that have been cast as antithetical to the modern: Indigenous, Black, and working class or poor life. Using a Foucauldian approach to the study of governmentality, the study traces how multiculturalism discourse has given rise to the ideal multicultural subject as necessarily a narrowly imagined Asian Conservative subject. That is, the thesis explores how the Asian Conservative MPs take up the narrowly imagined space of legitimacy that has been carved out for racial others â in which they remain regarded as duplicitous - as conduits to a settler colonial, anti-Black politics. To suggest that the figure of the Asian Conservative parliamentarian is a paradox presupposes the incommensurability of racial identity and conservative politics. By analyzing their text and talk, particularly their contributions to parliamentary debate on national identity, multiculturalism, and immigration policies, this thesis challenges this supposed incommensurability and investigates how Asian Conservative MPs, particularly since 1997, have contributed to the reproduction of racism in the Canadian context. Paradoxically raced in the name of racelessness, my research finds that the figure of the Asian Conservative MP has become vital to the stateâ s narrative of progress and tolerance. At the same time, speaking in the name of race, these politicians promote a discourse of integration and lend legitimacy to the project of managing racial populations. The study finds how politicians of colour also have the capacity to uphold the racial order, leave inequities uncontested, and often augment them with renewed vigour.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.044 | 0.011 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".