Bibliographic record
Abstract
Feminist struggles since the 1970s have made important gains in how state and interstate organizations respond to gender-based violence, challenging structural inequalities that increase vulnerability to gendered, racialized, geographic, and socioeconomic violence. The struggles have been varied and sometimes contradictory, from calls for greater state action against violence to organizing against state action that perpetuates gender-based violence. These contradictions have been amplified at the international level. Alongside the important gains achieved by feminist organizing are increasingly reactionary efforts to privatize violence as requiring individualized judicial responses rather than social change. This chapter outlines three feminist antiviolence frameworks, exploring their intersections, contradictions, gains, and shortcomings. It then discusses current challenges in the antiviolence landscape, assessing the potential of those frameworks for transformative change. Canada is used as a case study, drawing on comparisons with countries from both the global North and South. The chapter also discusses feminist action through international forums.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".