Rescuing women from the brinks of whiteness: Carceral restoration in a human trafficking court
Bibliographic record
Abstract
Abstract Research on gender-specific penal reform programs critique their failure to prioritize the socio-economic recovery of criminalized women. This paper draws on these insights to examine the Women’s Refuge Court (WRC), a human trafficking court for adult women criminalized for prostitution and drug offences in Ohio. Using ethnographic research, I illustrate the WRC’s rejection of bootstrapping and emphasis on material resourcing as a penal reform strategy. I argue that the WRC’s prioritization of socio-economic recovery derives from fears over the status decline of the impoverished white women who predominate as defendants. Court officials rely on evangelical Christian imaginings of prostitution as ‘modern day slavery’ to frame participants as ‘trafficking victims’. I identify the WRC’s response as a racially specific form of gender responsive programming called carceral restoration.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.034 | 0.012 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".