How Feminist Theory Became (Criminal) Law: Tracing the Path to Mandatory Criminal Intervention in Domestic Violence Cases
Bibliographic record
Abstract
Our popular understanding of domestic violence has shifted significantly over the past forty years, and with it, our legal response. We have moved from an interpretation of domestic violence as a private relationship problem managed through counseling techniques to an approach that configures domestic violence first and foremost as a public crime. Mandatory criminal intervention policies reflect and reinforce this interpretation. How we arrived at this point, and which understanding of domestic violence facilitated this shift, is the focus of this Article. I argue that the move to intense criminalization has been driven by a distinctly feminist interpretation of domestic violence, what I call the feminist understanding of domestic violence as patriarchal force. I demonstrate how this understanding grew out of a feminist rejection of alternative theories of domestic violence, specifically psychological and “family violence” theories, and was informed by earlier radical feminist theorizing on rape. I offer this account as a contribution to the ongoing feminist debate over mandatory policies, suggesting that for feminists looking to reform the current system, a different interpretation of domestic violence may be a necessary starting point
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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 | 0.016 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.017 | 0.063 |
| Scholarly communication | 0.010 | 0.014 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".