Bibliographic record
Abstract
In this thesis I explore the way Muslim women in Vancouver, B.C. narrate stories of belonging. Addressing the way in which Muslim women have become a popular symbol for the perceived incompatibility of multiculturalism and specific cultural practices, I focus on how this group has been affected — resists and negotiates — the changes to Canadian policy and the social landscape in the last two decades. I examine how these women come to see themselves in relation to the framing of their social, cultural and religious practices as inherently incompatible with aspects of Canadian society. What stories of belonging do they tell? How are these affected, produced, or outside of, state narratives of being in Canada? I draw from feminist, anti-racist scholarship calling for more nuanced and critical approaches to concepts of integration, multiculturalism and nationalism. I argue that these women’s stories can best be understood through the theoretical lens of (un)belonging; spaces, moments and attachments that develop outside of normative belonging. Finally, I seek to ask whether we can “keep our senses open to emergent and unknown forms of belonging, connectivity” and “intimacy” (Puar 2007, p. xxviii) and what these might inform or enliven in studies of immigration, settlement and multiculturalism in Canada.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.047 | 0.018 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.005 |
| 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".