Shifting boundaries: religion, medicine, nursing and domestic service in mid‐nineteenth‐century Britain
Bibliographic record
Abstract
The boundaries between medicine, religion, nursing and domestic service were fluid in mid-nineteenth-century England. The traditional religious understanding of illness conflicted with the newer understanding of anatomically based disease, the Anglican sisters were drawing a line between professional nursing and the traditional role of nurses as domestic servants who looked after sick people as one of their many duties, and doctors were looking for more knowledgeable nurses who could carry out their orders competently. This prosopographical study of the over 200 women who served as government nurses during the Crimean War 1854-56 describes the status of nursing and provides a picture of the religious and social structure of Britain in the 1850s. It also illustrates how religious, political and social factors affected the development of the new nursing. The Crimean War nurses can be divided into four major groups: volunteer secular ladies, Roman Catholic nuns, Anglican sisters and working-class hospital nurses. Of these four groups I conclude that it was the experienced working-class nurses who had the greatest influence on the organization of the new 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.017 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".