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Record W7028401258

The Entanglements of Canada's National Identity Building and Vietnamese Canadian Community Conflicts: Racial Capitalist Democracy and the Cold War Neoliberal Multicultural Subject

2019· other· en· W7028401258 on OpenAlexaboutno aff

Bibliographic record

VenueYork University Digital Library (York University) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsVietnameseSubjectivityAgency (philosophy)MulticulturalismIdentity (music)National identityCommunismRefugeeDemocracy
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.291
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.174
Teacher spread0.167 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations1
Published2019
Admission routes1
Has abstractyes

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