Analysis of the moral habitability of the nursing work environment
Bibliographic record
Abstract
BACKGROUND: Following health reform, nurses have experienced the tremendous stress of heavy workloads, long hours and difficult professional responsibilities. In recognition of these problems, a study was conducted that examined the impact of the working environment on the health of nurses. After conducting focus groups across Canada with nurses and others well acquainted with nursing issues, it became clear that the difficult work environments described had significant ethical implications. AIM: The aim of this paper is to report the findings of research that examined the moral habitability of the nursing working environment. METHODS: A secondary analysis was conducted using the theoretical work of Margaret Urban Walker. Moral practices and responsibilities from Walker's perspective cannot be extricated from other social roles, practices and divisions of labour. Moral-social orders, such as work environments in this research, must be made transparent to examine their moral habitability. Morally habitable environments are those in which differently situated people experience their responsibilities as intelligible and coherent. They also foster recognition, cooperation and shared benefits. FINDINGS: Four overarching categories were developed through the analysis of the data: (1) oppressive work environments; (2) incoherent moral understandings; (3) moral suffering and (4) moral influence and resistance. The findings clearly indicate that participants perceived the work environment to be morally uninhabitable. The social and spatial positioning of nurses left them vulnerable to being overburdened by and unsure of their responsibilities. Nevertheless, nurses found meaningful ways to resist and to influence the moral environment. CONCLUSIONS: We recommend that nurses develop strong moral identities, make visible the inseparability of their proximity to patients and moral accountability, and further identify what forms of collective action are most effective in improving the moral habitability of their work environments.
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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 | 0.006 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".