The Entanglements of Canada's National Identity Building and Vietnamese Canadian Community Conflicts: Racial Capitalist Democracy and the Cold War Neoliberal Multicultural Subject
Bibliographic record
Abstract
This study weaves Cold War Epistemology, critical multiculturalism, racial capitalism, and critical refugee studies to theorize how the Vietnamese Canadian subjectivity is related to Canadas national identity formation. Adopting a critical ethnography methodology and discourse analysis, this study asks: What are the conditions of community conflicts within the Vietnamese community and how are those conflicts related to the processes of Canadian national identity formation? The production and contestation of Vietnamese Canadian subjectivity in the making of Canadian national identity is traced through three major sites of analysis. This first site is the debate on the Memorial to Victims of Communism as captured in the media. The second site is the parliamentary and community commemoration of the Fall of Saigon on April 30th, 1975 which includes debates on the Journey to Freedom Day Act and local community events. The final site is a Toronto community agency conflict of identity. This study reveals the logic of racial capitalist democracy underlying Canadian national identity as free, humanitarian, democratic, and peace-making. This is constructed through the production of Vietnamese Canadian subjectivity as a particular model minority and model refugee framed within Cold War neoliberal and multicultural discourse with significant consequences to the wellbeing of the community.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.037 | 0.019 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".