Complicating nursing's views on religion and politics in healthcare
Bibliographic record
Abstract
Nursing, with its socially embedded theory and practice, inevitably operates in the realm of power and politics. One of these political sites is that of religion, which to varying degrees continues to shape beliefs about health and illness, the delivery of healthcare services and the nurse-patient encounter. In this paper, I attempt to complicate nursing's views on religion and politics in healthcare, with the intent of thinking critically and philosophically about questions that arise at the intersection of religion, politics and nursing/healthcare. These questions include the following: What is the domain of religion and politics? How (non)religious are the contemporary societies in which nurses practice? What are the variations and implications of secularism? How is religion entangled with other intersecting social relations of power? How does a political reading of religion and politics matter to the concerns of nursing?
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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 | 0.018 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.060 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.005 | 0.011 |
| 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".