Bibliographic record
Abstract
Abstract Purpose This chapter calls attention to penal regime shifts, emphasizing the importance of comparing different periods of prison development. In particular, it examines different instantiations of prison across time. Design/methodology/approach I discuss three periods of prison development (1790–1810s, 1820–1860, and 1865–1920), focusing on the nature of prison diffusion across the United States. Specifically, I discuss the homogeneity and diversity of prison forms in each period. Findings I demonstrate that the first two periods were particularly homogenous, as most states that adopted prisons followed a single model, the Walnut Street Jail model (1790–1810s) and the Auburn System (1820–1860), respectively. By contrast, the post—Civil War period experienced the emergence of women’s prisons, adult reformatories, and distinctively Southern approaches to confinement. Using neo-institutional theory, I suggest this post-war proliferation of prison forms was only possible because the prison had become institutionalized in the penal landscape. Originality/value Scholars rarely examine multiple shifts in penal regime together, reducing their ability to make comparative insights. This chapter juxtaposes three historical periods of prison development, thereby illustrating the diversity of the third period and improving extant understandings of prison evolution.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".