Unspoken commandments: Contemporary correctional officer work cultures and their influence on prison conditions
Bibliographic record
Abstract
I draw on interviews with 131 Canadian correctional officers (or COs), all of whom work in four western Canadian prisons. Building on existing Canadian and international CO research, my dissertation analyzes specific facets of CO workplace cultures in provincial prisons in Western Canada. Provincial prisons, which house prisoners who are awaiting trial or are sentenced to less than two years of custody, house the largest group of prisoners in Canada, but are comparatively under-researched. In this dissertation, I examine how officers practice and enact their roles as COs, detailing specific features of their habitus and demonstrating how it shapes workplace and occupational cultures, attitudes, and behaviours in unproductive ways. The broader, guiding question for this dissertation is as follows: how do officer workplace and occupational cultures shape prisons and prison operations? To answer this, I examine how the CO habitus shapes officer cultural values, and in turn demonstrate how these cultural values impact the daily operation of provincial prisons. This dissertation is broken into three central chapters, with a methodological addendum representing chapter four. Each of these chapters targets a specific aspect of how officer cultures function on a day-to-day basis. Chapter 1 focuses on how COs discuss and enact gendered organizational lenses within their work, demonstrating how gender distinctly shapes the perspectives and experiences of new COs. I conclude by discussing the central role that gendered organizational lenses play in helping officers deal with broader organizational shifts. In Chapter 2, I focus on how COs interact with use of force. Specifically, I examine how COs use and interact with force as a means of coercive governance, structuring how prison staff maintain control of prison environments. This article differs notably from other research on the topic, as I demonstrate how actions that are often discussed as “corruption” are often directly informed by how COs interact with broader organizational frameworks. In Chapter 3, I examine how COs perceive themselves as vulnerable. Building off of Sierra-Arévalo’s concept of a “danger imperative,” I argue that COs interpret nearly every decision they make through a lens of personal vulnerability. I provide specific details of how COs do this, identify the broader importance of vulnerability to COs, and identify points that officers routinely identify when discussing themselves as vulnerable. Finally, in Chapter 4, I discuss my own positionality as a former CO, and identify the specific features of my interaction with officer culture and how that impacted my research.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".