Florence Nightingale on Women, Medicine, Midwifery and Prostitution
Bibliographic record
Abstract
Volume 8: Florence Nightingale on Women, Medicine, Midwifery and Prostitution makes available a great range of Florence Nightingale’s work on women: her pioneering study of maternal mortality in childbirth ( Introductory Notes on Lying-in Institutions ), her opposition to the regulation of prostitution through the Contagious Diseases Acts (attempts to stop the legislation and otherwise to facilitate the voluntary treatment of syphilitic prostitutes), her views on gender roles, marriage and measures for income security for women and excerpts from her draft (abandoned) novel. There is correspondence with women friends and colleagues from childhood to old age, on a vast range of subjects. Correspondents include old family friends, royal and notable personages, nuns and colleagues in various causes. Most of this material has not been published before and some letters wil be new even to Nightingale scholars. Altogether a very different view of Nightingale emerges from what normally appears in biographies and other secondary sources. This material will enable a new assessment of her feminism, her relations with women and her contribution to improving the status of women of her time. Currently, Volumes 1 to 11 are available in e-book version by subscription or from university and college libraries through the following vendors: Canadian Electronic Library, Ebrary, MyiLibrary, and Netlibrary.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.032 | 0.004 |
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".