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Record W372789814 · doi:10.4324/9781003194651-25

On the Mode of Communication of Cholera

2023· book-chapter· en· W372789814 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.

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEngineering
TopicArtificial Immune Systems Applications
Canadian institutionsSackville Memorial Hospital
Fundersnot available
KeywordsCholeraFallacyWifeHistoryGeographySociologyLawMedicinePolitical sciencePhilosophyVirologyEpistemology

Abstract

fetched live from OpenAlex

John Snow was a physician and pioneering epidemiologist with two towering achievements from both fields: advancing the understanding of anaesthesia and explaining the spread of the disease cholera. Snow came from a working-class background and took up a medical apprenticeship in Newcastle upon Tyne at the age of 14, during which time he encountered the horrific effects of cholera in British cities. The particularly deadly 1830–1 cholera epidemic and the fact that its thousands of victims tended to be the poor, particularly influenced him. He moved to London in 1836 to take up work as a physician and, on again encountering cholera, became a sceptic of the miasma ‘bad air’ theory then held to explain the diffusion of the disease through the atmosphere. Another major epidemic in 1849 provided the backdrop for his writing the groundbreaking On the Mode of Communication of Cholera.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.521
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.036
GPT teacher head0.246
Teacher spread0.210 · 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

Quick stats

Citations176
Published2023
Admission routes1
Has abstractyes

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