The State, the People and the Care of Sick and Injured Sailors in Late Stuart England
Bibliographic record
Abstract
This article sheds new light on the depth and breadth of the Royal Navy's partnership with private care providers in one English town, Portsmouth, during the second Anglo-Dutch war (1664–67), by paying special attention to the role of landladies. We also re-examine why naval health care in England was transformed from a system based on numerous town quarters to one reliant upon a handful of private contract hospitals. A key factor in the change was naval medical officials' unwillingness to partner with landladies, because the officials identified landladies with the main failings of the town quartering system. Dishonest landladies, it was argued, promoted disorders among sick and injured seamen to the detriment of the navy. Naval health care in England was centralised at the beginning of the eighteenth century, therefore, for both medical-instrumental and moral reasons.
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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 | 0.001 | 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 | 0.003 |
| 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".