Bibliographic record
Abstract
The reform of hospital nursing in the last quarter of the nineteenth century brought nursing leaders into conflict with the gendered and class bound structure of Victorian society. The experiences of Maria Machin are used in this article as an example of the barriers nursing leaders had to overcome in order to establish a competent nursing service. While Machin was eminently successful in improving patient care and expanding the knowledge base of her nurses, she could not change the perceptions of nursing which the public at large held. At the beginning of the nineteenth century hospital nurses had been essentially cleaning women who gave some of the less important nursing care. They formed a cheap service which many hospital governors considered a relatively low priority in the overall operation of the hospital. This view of nursing persisted long after the reformers had made nursing into something quite different. Machin's nursing career also illustrates how nursing participated in a major aspect of British imperialism, the export of professional expertise and administrative skills as well as the way nursing fitted into the rise of the new professionalism.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".