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
Researchers have assessed the effect of longer prison sentences by conducting aggregate-level studies of general deterrence. However, relatively little attention has been paid to the specific deterrent effects of longer custody sentences on individual offenders. The authors evaluated the effect of sentence length on drunk driving recidivism by using official records in a retrospective research design. A sample of 514 incarcerated drunk drivers we are followed up for 24 to 45 months in Alberta, Canada. The study searched for possible sentencing thresholds, the optimum sentence length at which point deterrent effects are maximized, and used multivariate statistical analysis to control for possible confounding background variables. The authors observed that sentence length exerted consistent deterrent effects on repeat drunk driving, even for chronic offenders. Shorter sentences were less effective in discouraging drunk driving recidivism, while sentences longer than 6 months did not produce additional benefits.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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