Negotiating Feminism: Campus Sexual Violence and the Politics of Settlement
Bibliographic record
Abstract
Negotiating Feminism traces the reflection of the feminist “sex wars” in contemporary debates about campus sexual violence reform in Canada and the United States – what Emily Bazelon has called the “return of the sex wars” on college and university campuses. Negotiating Feminism focuses on one issue in the return of the sex wars – the role of interests-based, consensual dispute resolution processes, including mediation and restorative justice, in changing the conditions that foster campus sexual violence on the ground. The political polarization of the return of the sex wars has prevented some colleges and universities from engaging with policy models that challenge the primacy of campus adjudication and other rights-based options. Complainants of campus sexual violence should be empowered to access any form of dispute resolution under law, whether rights-based or interests-based, that accords with their personal conception of justice. Empowering complainants in this way does not mean that colleges and universities should be willfully blind to the reality of substantive inequality that campus adjudication is intended to address. Yet acknowledging this reality should not require colleges and universities to essentialize about the nature of women’s injury or overdetermine the role of gendered power imbalances in producing the content of women’s interests in resolving their complaints otherwise. Feminist law and policymakers should negotiate between these competing imperatives and come together by instituting what Negotiating Feminism calls the “plural process” model of campus sexual violence reform. The plural process model recognizes that both rights-based and interests-based options can promote substantive equality for women and other historically marginalized groups – and it seeks to bring about that change.
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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 | 0.009 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.068 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 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".