Bibliographic record
Abstract
Abstract Despite significant accomplishments over the past 35 years, antiviolence activists know that justice for most abused women remains elusive. Most victims of violence against women do not call the police or seek help from the courts. Are there new ways that survivors might find justice? This book examines new alternative justice practices for victims. These informal, dialogue-based practices, referred to as “restorative justice,” seek to decrease the role of the state in responding to crime, and increase the involvement of communities in meeting the needs of victims and offenders. Restorative Justice and Violence Against Women considers both the dangers and potential benefits of using restorative justice in response to these crimes. The contributors include antiviolence activists and scholars from the U.S., Canada, Australia, and New Zealand. A range of perspectives on these alternative justice practices is presented. This book also contains rich descriptions of new programs that combine restorative justice with feminist antiviolence approaches. The hope is that this will inspire survivors, advocates, community activists, and scholars to create new ways for abused women to find justice.
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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 | 0.000 | 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 | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".