Bibliographic record
Abstract
Objectives: The first of two articles is to show how Florence Nightingale became a leading, effective hospital reformer. Aim: The aim of the first paper is to relate how Nightingale was influenced by the great defects in the war hospitals of the Crimean War (1854–1856) and how she learned the lessons from those defects to set a different course. The article shows how her famous Notes on Nursing is a positive treatment of the lessons learned, turning the sanitary defects, notably in ventilation, into chapters of the book. The importance of the pavilion model of hospital design is highlighted. There is coverage of the advances made by Semmelweis at the Vienna General Hospital. Methods: This is a purely historical study drawing on the extensive publications by Nightingale, augmented by her (massive) surviving correspondence and notes. The search for archival materials was done for the publication of the 16-volume Collected Works of Florence Nightingale, written by the author of this article. The collected works was peer reviewed, and the research process succeeded in locating material in more than 200 archives worldwide.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".