Bibliographic record
Abstract
This dissertation intervenes in debates in Media Studies, Gender and Sexuality Studies, Canadian Immigration Studies, and Critical Race Studies to explore how shifting news media and political representations of Muslim families reflect the complexities of what it means to be Canadian beyond holding citizenship. In the post-9/11 era, the Muslim family has re-emerged in Canadian English-language news media and Canadian political debates as a site of inherent violence. Drawing on orientalist narratives of the Muslim family, news media and political conversations tend to frame these homes as being headed by patriarchal fathers and oppressed mothers, and children seeking to break from families and traditions, yet always holding the potential to become violent themselves. Even though Canada identifies as a multicultural nation, Muslim families are often presented in media as undeserving of the rights of Canadian citizenship, and even deserving of state violence. While news media play a key role in reproducing orientalist framings of Muslim families, news media can also take the government to task when it comes to the violation of immigrant and racialized Canadians’ rights as citizens. Some news media coverage counter orientalist narratives by producing “positive” representations of Muslim families, however, these “positive” representations frequently frame Muslims who are worthy of the rights of citizenship as adhering to heteronormative family dynamics, productive citizenship, and normative Western gender roles and kinship formations. These “positive” portrayals produce varying representations of Muslim families, but such framings can also labour in the way of reifying Canada’s multicultural ideals and Canada’s idea of itself as “civilized.” Drawing on the news media coverage of the family of Maher Arar, the Khadrs, and the Shafias, I argue that such representations still produce the norms of the settler-colonial Canadian nation, where some racialized bodies, in this case Muslim families, can be granted the rights of Canadian citizenship if they are able to proximate normative Canadian kinship formations.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.055 | 0.005 |
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".