Exploring Moral Categorizations and Symbolic Boundaries Around People Living With HIV in a Correctional Setting
Bibliographic record
Abstract
ABSTRACT: For people living with HIV, correctional facilities, such as jails, prisons, and remand centers in Canada are complex environments at the intersection of health, justice, social, and criminal systems. Turning toward experiences, I explore my stories and observations of working with people living with HIV as a registered nurse in a large correctional facility in Western Canada. Based upon a narrative understanding of experience, I inquire into these stories and observations through the application of Mary Douglas' theoretical work on purity versus impurity and Michèle Lamont's symbolic boundary work. I engage in a reflective dialogue with the newfound meanings and understandings produced and discuss significant personal, practice-based, social, and policy-based insights within the context of my nurse researcher-practitioner role. This dialogue draws attention and raises questions about social practices, HIV-related stigma, correctional nursing, and the particularities of life evident within correctional facilities. Clinical implications for correctional nurses are discussed.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.046 | 0.060 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".