The long-term impact of debt relief for indigent defendants in a misdemeanor court
Bibliographic record
Abstract
US courts regularly assess fines, fees, and costs against criminal defendants. Court-related debt can cause continuing court involvement and incarceration, not because of new crimes, but because of unpaid financial obligations. We conducted an experiment with 606 people found guilty of misdemeanors in Oklahoma County, Oklahoma. Study participants were randomly selected to receive relief from all current and prior fines and fees assessed for criminal charges in the county. Fee relief reduced jail bookings 21 mo after randomization and the effect persisted over 44 mo of follow-up. Although fee relief reduced incarceration, financial sanctions had no effect on indicators of lawbreaking. Instead, the control group (who obtained no relief from fines and fees) were rearrested at significantly higher rates because of open arrest warrants for nonpayment. These results indicate the long-term and criminalizing effects of legal debt, supporting claims that financial sanctions disproportionately harm low-income defendants while contributing little to public safety.
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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 | 0.001 | 0.006 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".