Assembling Risk and the Restructuring of Penal Control
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
In this paper, we draw attention to new assemblages with risk in order to highlight the multiple forms of knowledge and logics at work in new risk assessment practices. We seek to complicate the theoretical explanations of risk by highlighting how risk logics merge and shift in tandem with various rationalities. For example, when risk is merged with need, needs are reconfigured as criminogenic needs but, in this process, risk becomes a fluid concept that can be treated, altered and transformed. When risk is merged with more welfare and disciplinary-based logics, such as rehabilitation and clinical assessments, new forms of risk management are produced, such as targeted treatment. Through these processes, risk’s association with actuarial calculations is weakened by other judgments and appraisals. As well, risk takes on more productive ameliorative possibilities, associated with risk minimization. These new assemblages enable new forms of risk-based governance as evident in contemporary correctional case management planning and the accreditation of programmes. This analysis is developed through an examination of the Level of Service Inventory (LSI)—an internationally used risk assessment instrument.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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