Under These Conditions: Gender, Parole and the Governance of Reintegration
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
Despite the widespread use of conditions in various phases of the criminal justice system (e.g. bail, probation, parole), there has been little theoretical examination of their purposes or the implications associated with their use. This paper extends the theoretical discussion of women prisoners’ reintegration by focusing on parole conditions as a form of ‘targeted governance’. Using national data on federally sentenced female offenders in Canada, it shows how parole boards constitute the female parolee as a fractured subject consisting of various ‘risk/need factors’ to which parole conditions are applied. It also considers how conditions are techniques of targeted governance that exemplify an integrated exercise of penal power, which is simultaneously productive and repressive: conditions help prepare women prisoners for ‘freedom’ on parole by mobilizing particular techniques of self-governance, while at the same time operate as modes of surveillance that police the boundaries of acceptable conduct.
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