“Prison didn’t change me, I have changed”: Narratives of change, self, and prison time
Bibliographic record
Abstract
Drawing on interview data with over 50 male former prisoners in Ontario, Canada, we examine male ex-prisoners' narratives of change within prison settings. Specifically, we focus on how ex-prisoners talk about change to self and their persona, as they reflect back on both their pre-prison selves and the ways they believe prison changed them. We find that these ex-prisoners described prison as a time where they developed a more general sense of positive change. Ex-prisoners described how prison living made them "calmer," "stronger," and more "patient" overall. These descriptions stand in tension with the overall hostility of prison environments where prisoners are forced to focus on survival and basic well-being as they navigate the risks and threats of prison living. Overall, in this article, we seek to contribute to emerging discussions on positivity within prison settings, acknowledging that studying the more positive impacts of prison is a delicate yet important endeavor necessary to help better understand the experiential complexities of punishment.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.019 | 0.019 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| 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".