Planning for Precarity? Experiencing the Carceral Continuum of Imprisonment and Reentry
Bibliographic record
Abstract
Abstract Drawing on qualitative interviews with formerly imprisoned people in Canada, we show that most prisoners experience reentry into communities with little to no prerelease planning, and must rely upon their own resourcefulness to navigate fragmented social services and often informal supports. In this respect, our research findings contrast with much US punishment and society scholarship that highlights a complex shadow carceral state that extends the reach of incarceration into communities. Our participants expressed a critical analysis of the failure of the prison to address the needs of prisoners for release planning and supports in the community. Our findings concur with other empirical studies that demonstrate the enduring effects of the continuum of carceral violence witnessed and experienced by prisoners after release. Thus, reentry must be understood in relation to the conditions of confinement and the experience of incarceration itself. We conclude that punishment and society scholarship needs to attend to a nuanced understanding of prisoner reentry and connect reentry studies to a wider critique of the prison industrial complex, offering more empirical evidence of the failure of prisons.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.011 | 0.018 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".