Deconstructing Docility: Sexual Assault Law and Embodied Resistance to Violence
Bibliographic record
Abstract
From the disproportionate sexual violence faced by Indigenous women to the incidents that prompted Canadian activists to found the SlutWalk movement, the nation-state’s relationship to violated bodies continues to highlight the ways in which legal and cultural discourses often situate victims of sexualized violence as self-surveilling agents who are ultimately deemed responsible for their own safety. Building on work by Michel Foucault, I trace a history of vulnerable bodies and subjectivity vis-à-vis sexual violence, arguing that through the politics of selfsurveillance and contemporary rape-prevention discourse, both specific bodies and specific geographical locations are materialized as abject. Focusing specifically on Vancouver’s Downtown Eastside and drawing on literary texts that directly address how vulnerable bodies are legally constituted, I suggest that violated bodies are not merely passively inscribed by the law, but rather that our readings of them can help to unsettle and resist the discourses that attempt to constrain and define them.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.018 | 0.103 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| 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".