The prehistory of innovation: A longer view of penal change
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
New penal technologies, however innovative, rarely emerge fully formed, but we currently lack a theoretical appreciation of the lengthy, messy process by which penal innovations develop. Indeed, most studies of penal change focus on the conditions surrounding the emergence of a particularly successful innovation, a model of punishment whose widespread diffusion is indicative of significant change. This paper extends our analytical focus by examining the legacy of an innovation’s prehistory, the ideational period in which an idea is created at the margins of criminal justice before manifesting on a wider scale. This paper traces the history, and influence, of American uses of penal incarceration before Pennsylvania’s famous Walnut Street Prison, often referred to as the country’s first prison. This prehistory complicates the notion of innovation by identifying significant precursors. Ultimately, recognizing penal innovations’ prehistory challenges macro-level theories of penal change, which largely overlook those causes that significantly predate the “moment” of innovation.
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 | 0.001 | 0.001 |
| 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