For personal use only--not for distribution. The Past and Future of U.S. Prison Policy Twenty-Five Years After the Stanford Prison Experiment
Bibliographic record
Abstract
In this article, the authors reflect on the lessons of their Stanford Prison Experiment, some 25 years after conducting it. They review the quarter century of change in criminal justice and correctional policies that has transpired since the Stanford Prison Experiment and then develop a series of reform-oriented proposals drawn from this and related studies on the power of social situations and institutional settings that can be applied to the current crisis in American corrections. We would like to acknowledge our colleague and coinvestigator in the original Stanford Prison Experiment, W. Curtis Banks, who died last year. We also acknowledge the assistance of Marc Mauer and The Sentencing Project, who granted permission to reprint Figure A1 Sandy Pisano, librarian at the Arthur W. Melton Library, who helped compile some of the data that appear in the tables and figures. Readers interested in the corrections system may contact the American Psychology—Law Society or
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.317 | 0.040 |
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".