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Record W2560583582 · doi:10.3138/cjh.ach.51.3.003

Mending the Sick and Wounded: The Development of Naval Hospitals in the West Indies, 1740–1800

2016· article· en· W2560583582 on OpenAlexvenueno aff
Cori Convertito

Bibliographic record

VenueJournal of History · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNavySick childSick leaveWest indiesMedicineWorld War IIManagementOperations managementAeronauticsOperations researchLawHistoryPolitical scienceEngineeringPediatricsEconomics

Abstract

fetched live from OpenAlex

Until the 1740s, the Royal Navy's policy aimed at caring for sick and wounded seamen both at home and abroad was uncomplicated. It routinely retained London-based contractors who, in turn, employed regional agents to run the day-to-day operations in all of the country's seaport towns and at naval stations abroad. These agents were responsible for leasing sick quarters or temporary hospital buildings, as well as procuring victuals, medical supplies, surgeons and nurses. The contractor system allowed the Admiralty to pay a fixed rate to contractors, which meant it could approximate its annual costs for taking care of sick and wounded seafarers. Once the Sick and Hurt Board became a permanent division of the Royal Navy, however, it bore accountability for the navy's medical decisions. At the Admiralty's urging, the Board set about re-evaluating the long-standing contractor system, and determined that purpose-built naval hospitals were better suited to the navy's expanding needs. Following the immediate success of two naval hospitals erected in Britain, Haslar in Portsmouth and Stonehouse in Plymouth, the navy determined they would benefit from the erection of similar facilities in the West Indies. This paper sets out to explore this transitional period in the Royal Navy's medical branch when it undertook the critical change from a contractor-lead hospital scheme to a navy-controlled system. By investigating individual hospital designs, letters, and hospital muster books, an accurate representation of naval hospitals in the West Indies can be established. In doing so, the notion of an advanced military body emerges, dispelling several misapprehensions about seamen's healthcare during the eighteenth century.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.500

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.039
GPT teacher head0.210
Teacher spread0.171 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2016
Admission routes1
Has abstractyes

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