Registered Practical Nurses’ Experiences of the Moral Habitability of Long-Term Care Environments during the COVID-19 Pandemic
Bibliographic record
Abstract
The COVID-19 pandemic has had a deleterious impact on the lives of nurses who work in long-term care; however, the moral conditions of their work have been largely unexamined. The purpose of this qualitative study, therefore, was to explore registered practical nurses' (RPNs) experiences of the moral habitability of long-term care environments in Ontario, Canada during the COVID-19 pandemic. Four themes were identified: (1) Striving to meet responsibilities in a failed system; (2) bearing the moral and emotional weight of residents' isolation and dying in a context of strict public health measures; (3) knowing the realities of the work, yet failing to be heard, recognized, or supported by management; and (4) struggling to find a means of preservation for themselves and the profession. Attention to the moral habitability of RPNs' work environments is necessary to achieve a high-quality, ethically attuned, and sustainable nursing workforce in long-term care.
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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 | 0.010 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".