Interracial Violence, Western Racialized Masculinities, and the Geopolitics of Violence Against Women
Bibliographic record
Abstract
This article examines violence against racialized women in North America and how this violence is obscured through liberal conceptualizations of violence. I focus on cases of interracial stranger attacks of Asian women and girls by men. I contend that these cases – that range from homicide, sexual assault, prowl by night, to tampering with a food product – are connected and are local manifestations of national and global power relations. I end by foregrounding how some of the non-Asian men targeting Asian women are men of colour. I argue that this violence is an assertion of the right to place and space in both national and global hierarchies informed by the neoliberal uplift of elite Asian men and capital, and western constructions of the Asia Pacific century. In highlighting the specificities of Asian gendered difference, the intent is less to include Asian women in theorizing on violence, and more to examine how an intersectional, relational, historically specific and structural analysis of gendered violence brings into clearer view the systems of domination that violence secures.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.021 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".