Accountability and Coercion: Is Justice Blind when It Runs for Office?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Through their power to sentence, trial judges exercise enormous authority in the criminal justice system. In 39 American states, these judges stand periodically for reelection. Do elections degrade their impartiality? We develop a dynamic theory of sentencing and electoral control. Judges discount the future value of retaining office relative to implementing preferred sentences. Voters are largely uninformed about judicial behavior, so even the outcome of a single publicized case can be decisive in their evaluations. Further, voters are more likely to perceive instances of underpunishment than overpunishment. Our theory predicts that elected judges will consequently become more punitive as standing for reelection approaches. Using sentencing data from 22,095 Pennsylvania criminal cases in the 1990s, we find strong evidence for this effect. Additional tests confirm the validity of our theory over alternatives. For the cases we examine, we attribute at least 1,818 to 2,705 years of incarceration to the electoral dynamic.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| 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 | 0.011 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it