Ruptures in Canada’s Nationalist Narrative: Situating Toronto’s Former-Yugoslav Immigrants in the Indigenous-Settler Context
Bibliographic record
Abstract
With the increasing prevalence of Indigenous discourses in the public consciousness, it becomes clear that the role of immigrants in the Indigenous-Settler dynamic has yet to be understood, and is particularly understudied in its Canadian context. However, given that nearly half of the population in the City of Toronto is composed of immigrants, it presents a rich research opportunity. As a Toronto-based immigrant from Former-Yugoslavia, I decided to conduct research with my own community. This thesis investigates the positionality of the Greater Toronto Area’s (GTA) Former-Yugoslav immigrants in the context of Indigenous-Settler relations. My research suggests that this community is situated within two ruptures of the Canadian nationalist narrative – paradoxical realms of multiple co-occurring imaginaries. As displaced peoples, they are privileged beneficiaries of the Canadian state while simultaneously being denied access to the Whiteness of the Canadian-Canadian ethnic identity. The ruptures are exposed by the relational positionality of Indigenous peoples to Former-Yugoslavs; in other words, Indigenous peoples play a central role in the identity of the GTA’s Former-Yugoslav immigrants. The very existence of Indigenous peoples in Canada shatters the illusion of inclusivity in the multiculturalist narrative by exposing (1) the rupture of injustices acted upon Indigenous peoples by the Canadian state, which maintains its marginalization of these communities via multiculturalism; and (2) the rupture of the relational nature of Whiteness by challenging it as a monolithic identifier of ethno-racial categorization in favour of pluralistic forms of identity. Thus, Former-Yugoslav immigrants are Settlers who have potential for solidarity with Indigenous peoples.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.050 | 0.030 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".