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Record W1534441001

Medical Care of American POWs during the War of 1812

2008· article· en· W1534441001 on OpenAlexaffabout
Gareth A. Newfield

Bibliographic record

VenueScholars Commons (Wilfrid Laurier University) · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsMedical careMedicineEmergency medicine
DOInot available

Abstract

fetched live from OpenAlex

In 2005, a service in Halifax commemorated US soldiers and sailors who perished in Britain’s Melville Island prisoner-of-war camp during the War of 1812 and whose remains now lie on Deadman’s Island, a nearby peninusla. The service culminated nearly a decade of debate, in which local history enthusiasts, the Canadian and American media, and Canadian and US politicians rescued the property from developers. The media in particular had highlighted the prisoners’ struggles with disease and death, often citing the sombre memoirs of survivors.1 Curiously, Canadian investigators relied largely upon American accounts and did little research on efforts at amelioration from the British perspective.\nCoverage has emphasized British cruelty, citing accounts of internees such as that edited by Dr. Benjamin Waterhouse (an American medical officer) and American deaths at the hands of guards at Dartmoor Prison in England during a riot in April 1815,2 while ignoring more positive elements, such as medical care.\nThis article explores British medical care for American prisoners of war in terms of organization, delivery, treatments and results, and US observations of the matter. In fact, British medical authorities addressed problems in the custody system and provided humane and compassionate medical care.\nIn the absence of international codes for the treatment of prisoners and substantial provision for handling thousands of prisoners of war, upkeep was difficult, rendering medical care often chaotic. British medical officers none the less cared for captives adequately and comparably to the way they assisted their own forces.

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)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.206

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.003
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.017
GPT teacher head0.198
Teacher spread0.180 · 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

Citations0
Published2008
Admission routes2
Has abstractyes

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