Problematizing “Honour Crimes” within the Canadian Context: A Postcolonial Feminist Analysis of Popular Media and Political Discourses
Bibliographic record
Abstract
Honour-based violence has garnered significant attention within Canadian national discourses, especially within popular media and political rhetoric. Frequently conceptualized as a culturally specific form of violence embedded with patriarchal understandings of honour, these crimes have been mobilized within mainstream media to vilify certain ethnic and racial communities, particularly from the Global East. Relying on ethnocentric explanations, honour crimes are imagined as foreign phenomena that have been imported into Canada by immigrant populations who actively resist assimilation and fail to adopt liberal Western values of equality and freedom. This paper seeks to unsettle these very tropes surrounding the “honour crime” label using a postcolonial feminist lens. Drawing on the murder case of Aqsa Parvez, this paper calls into question the discursive strategies used to construct “honour crimes” and the racialized tropes that they perpetuate. Further, this paper examines how this label is mobilized to carry out “political work” and support certain political agendas, which include managing immigrant populations.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.040 | 0.038 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 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".