Florence Nightingale’s Nursing and Health Care: The Worldwide Legacy, As Seen on the Bicentenary of Her Birth
Bibliographic record
Abstract
Aim: The aim of this article is to articulate the distinctive features on the Nightingale School of Nursing on the occasion of the 2020 bicentenary of her birth. Design: This is a historical study, based on all the available printed and archival sources of Nightingale’s writing. Methods: The article draws on Nightingale sources (full books, articles, chapters, pamphlets and unpublished letters in more than 200 libraries and archives worldwide) published in The Collected Works of Florence Nightingale, 16 volumes, peer-reviewed; transcriptions are available on its website [1]. Results: Nine key findings are discussed in the article: (1) how different Nightingale’s nursing was from what was called ‘nursing’ at the time; (2) that the central role of training allowed nursing to move from being a women’s profession to being open to all qualified; (3) the evolution of Nightingale nursing as medical science and public health advanced; (4) the academic content in her training; (5) team building in her system; (6) her (often misrepresented) views on germ theory; (7) her late work on preventing cholera; (8) the worldwide influence of her work; (9) her work upgrading workhouse infirmaries and advocacy of what would be later called universal access to health care. Conclusion: Nightingale’s ongoing relevance is evident in many of today’s concerns, such as lack of access to quality health care; the shortage of nurses in the United Kingdom’s National Health Service (and in some other countries) and inadequate wages and salaries of nurses and nurse practitioners; the ongoing dangers in nursing and the need to give nurses a safe working environment (the coronavirus is an extreme example); and inadequate data for health care planning purposes. Doi: 10.28991/SciMedJ-2021-0301-7 Full Text: PDF
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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 | 0.002 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".