“I Would Have Given them a Piece of my Mind”: Spatialized Feelings and Emotion Work Among Racialized Muslim Women in Québec
Bibliographic record
Abstract
The 2013 Charter of Values in Québec proposed to ban “ostentatious” religious symbols in the public sphere; while ostensibly neutral, such bans harm women who identify as Muslim, hurting their sense of belonging. This article examines the emotional experiences of Canadian Muslim women and the emotion work they do to manage non-Muslims’ impressions of them in a context of rampant Islamophobia. To understand their experiences, I develop a concept called spatialized feelings—how emotions, relationally accomplished in intersectional hierarchies, are contingent on the spaces social actors occupy. My interviews and participant observation of Muslim women in Québec revealed that their feelings about self and belonging were spatialized. In spaces dominated by whiteness (work, school, in public), my participants felt different, due to experiences of exclusion. In spaces with other Muslims, participants felt connected, but belonging was complicated by intersectional identities. Although their engagement in emotion work indicated agency, emotion work reproduced raced and gendered bodies and spaces. With exclusionary politics on the rise across the Atlantic, targeted minorities will increasingly experience racialization in gendered ways in public spaces; spatialized feelings are at the core of understanding the consequences of these politics for belonging and emotion work.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".