Managing Contradictions of Multiculturalism: Narratives of Belonging and Being Canadian Among Canadian Middle Eastern Women
Bibliographic record
Abstract
This thesis investigates experiences of belonging and being Canadian among first-generation Canadian Middle Eastern women through one-on-one interviews with 13 women. Since the election of Justin Trudeau in 2015, Canada has recommitted to bolstering discourses of multiculturalism. There have been, however, lasting impacts from mainstream discourses that followed 9/11, which positioned Middle Eastern women as imperiled and Middle Eastern culture as backward. Additionally, liberal multiculturalism in Canada has done little to address systemic racism, and instead encourages a superficial level of acceptance. Contradictions of multiculturalism can be found in the narratives of these women, who sometimes repeat discourses that do not benefit them. Conversely, women who have access to discourses that position multiculturalism as ideological, have a difficult time expressing a Canadian identity and display a critical understanding of their experiences. These narratives are considered in a wider context of how race and racism structure Canada today.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.058 | 0.026 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".