Gendered Violence, Cultural Otherness, and Honour Crimes in Canadian National Logics
Bibliographic record
Abstract
Abstract. Honour-based violence, and the honour crime in particular, have assumed a central place in Canadian national discourse and consciousness. Understood within mainstream Canadian discourses as a uniquely dangerous form of violence, the honour crime has been linked to recent waves of migration and culturally specific notions of honour. Imagined as a foreign and imported phenomenon brought to Canada by immigrants who fail to assimilate to national and “western” ideals of gender equality, the crime is also viewed as an extreme form of violence that must be managed and ultimately expelled. Discourses sur- rounding the honour crime now inform various key social, racial, and cultural debates across national and transnational scales. By analyzing the discursive strategies used to construct and disseminate dominant discourses on honour killings, this article maps the heightened official state and public media interest in honour-based violence and crimes.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.029 | 0.026 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".