“Work Your Story”: Selective Voluntary Disclosure, Stigma Management, and Narratives of Seeking Employment After Prison
Bibliographic record
Abstract
Using interviews with forty formerly incarcerated people in the Greater Toronto Area, I explore how criminal record holders describe seeking work. People articulate being driven by a desire to be selective to whom, when, and how they disclose their past criminal record; they simultaneously want to talk about their past, at least to some people, some of the time. Many say they are quite selective in what types of jobs and employers they seek out, and their efforts to secure employment are driven by broader projects of stigma management. In light of these findings, I coin “selective, voluntary disclosure” (SVD) as a new set of policy configurations that aim to facilitate not only employment but also dignity, privacy, and empowerment. SVD is well attuned with what former prisoners describe doing on an everyday basis, and it accords with their goals, aspirations, and rehabilitative self-projects.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".