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Record W4402521544 · doi:10.1017/mdh.2024.24

The first recorded outbreak of epidemic dropsy, 1877–80: Climate, empire, and colonial medical science between India, Bengal, and Mauritius

2024· article· en· W4402521544 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMedical History · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVibrio bacteria research studies
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsColonialismBENGALOutbreakContext (archaeology)EmpireVulnerability (computing)Epidemic diseaseGeographyHistorySocioeconomicsAncient historyMedicineSociologyArchaeologyVirology

Abstract

fetched live from OpenAlex

This article reconstructs the first outbreak of epidemic dropsy recorded in documentary evidence, which occurred in Calcutta, Mauritius, and northeastern India and Bengal in 1877-80. It uses current medical knowledge and investigations into the wider historical contexts in which the epidemic occurred to re-read the colonial medical literature of the period. It shows that colonial policies and structures in the context of variable enviro-climatic conditions increased the likelihood that an epidemic would break out, while also increasing the vulnerability of certain populations to infection and mortality. Additionally, it shows how the trans-regional nature of the epidemic contributed to varying understandings of the disease between two colonial medical establishments, which influenced each other in contradictory ways. The article's core contributions are to recent trans-regional perspectives on disease transmission and colonial medical knowledge production in the Indian Ocean World.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.620
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.298
Teacher spread0.284 · 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