Impact of information about sentencing decisions on public attitudes toward the criminal justice system.
Bibliographic record
Abstract
Research reveals public dissatisfaction with perceived leniency of the criminal justice system. However, when asked to sentence hypothetical offenders, members of the public tend to choose dispositions similar to what current court practices prescribe. In two studies reported here, subjects completed a mock sentencing exercise and a general attitude survey. In an initial pilot study, they expressed general dissatisfaction with the criminal justice system but the relative punitiveness of their sentences (in terms of their perceptions of how severe various sentencing options are) was only slightly elevated above a set of reference sentences. Providing a typical judge's sentencing decisions did not decrease dissatisfaction but was associated with an anchoring effect. This effect was explored in the main study by manipulating the provided reference sentences to be either lenient, moderate, or punitive. Again, participants expressed general dissatisfaction with the criminal justice system but prescribed generally moderate sentences, anchoring their sentences to the information provided. However, only those exposed to moderate "typical" sentences subsequently reported reduced dissatisfaction with the criminal justice system.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".