Dispositions that matter: Investigating criminalized women’s resettlement through their (trans)carceral habitus
Bibliographic record
Abstract
Whether prisoner resettlement is framed in terms of public health, safety, economic prudence, recidivism, social justice, or humanitarianism, it is difficult to overstate its importance. This article investigates women’s experiences exiting prison in Canada to deepen understandings of post-carceral trajectories and their implications. It combines feminist work on transcarceration and Bourdieusian theory with qualitative research undertaken in Canada to propose the (trans)carceral habitus as a theoretical innovation. This research illuminates the continuity of criminalized women’s marginalization before and beyond their imprisonment, the embodied nature of these experiences, and the adaptive dispositions that they have demonstrated and depended on throughout their lives. In doing so, this article extends criminological work on carceral habitus which has rarely considered the experiences of women. Implications for resettlement are discussed by tracing the impact of criminalized women’s (trans)carceral habitus (i.e. distrust, skepticism, vigilance about their environments and relationships) on their willingness to access support and services offered by resettlement organizations.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".