“This Job has Changed Me”: Work Life Conflict, Self and Social Identity in Correctional Work
Bibliographic record
Abstract
Growing research demonstrates the toll of correctional work on the mental health and well-being of staff. Within this body of work, researchers note that work life conflict is a significant stressor faced by correctional workers, though minimal research has examined this topic qualitatively. Drawing on open-ended survey responses from a study on provincial and territorial correctional worker well-being in Canada, we consider how different types of work life conflict, including time, strain and behavior based conflicts, impact sense of self and social identities among workers. More specifically, we examine how work life conflicts give way to: changes in self tied to negative impacts on personality, disposition, and attitudes; loss of self due to lack of time and emotional energy to enact non-work roles and identities; and loss of social identities as a result of both externally and self-imposed forms of social isolation. Findings highlight how work life conflict can have cumulative effects resulting in estrangement with respect to one's self, others, and society more generally.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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 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".