“It’s Pure Chaos Every Day”: COVID-19 and the work of Canadian federal institutional parole officers
Bibliographic record
Abstract
As the Canadian federal correctional system grappled with the onset of the COVID-19 pandemic, institutional parole officers, who play a central role in prisoners' case management team, remained essential service providers. Working in uncertain circumstances, these correctional workers navigated new and rapidly changing protocols and risks, while attempting to continue to provide support to those on their caseloads. Based on semi-structured interviews with 96 institutional parole officers, conducted after Canada's "first wave" of COVID-19 infections, we analyze three ways in which their work was impacted by the pandemic: shifting workloads, routines, and responsibilities; increased workloads due to decarceration (i.e., efforts to reduce the number of incarcerated individuals); and the navigation of new forms of risk and uncertainty. This study advances the understanding of stress and risk in probation and parole work and presents recommendations to ameliorate the occupational stresses experienced by correctional workers during and beyond COVID-19.
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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 | 0.002 | 0.001 |
| 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 | 0.000 |
| 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 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".