Demonstrating Identities: Citizenship, Multiculturalism and Canadian-Tamil Identities
Bibliographic record
Abstract
Using political demonstrations as sites of analysis, this thesis explores popular understandings of diasporic identities within a Canadian multiculturalism framework and second generation Sri Lankan Tamil's (SLT) (re)negotiations of these constructions in forming and informing their identities. Through the use of critical discourse analysis and in-depth interviews I argue that popular constructions of diasporic identities and Canadian national identity as understood within a multiculturalism framework is not entirely in concurrence with diasporic minorities' identity constructions. The divergences that emerge amongst the discourses demonstrate a need for a more nuanced conceptualization of Canadian multiculturalism and citizenship which should incorporate the idea of transnational political and cultural practices. The current understanding of multiculturalism is still premised on the nation state model in which diasporic identities are seen in juxtaposition to the Canadian national identity. Moving towards a global framework allows for the incorporation of these forms of identities.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.025 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".