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Record W2052063554 · doi:10.1098/rsnr.2013.0032

Farmer to industrialist: Lister's antisepsis and the making of modern surgery in Germany

2013· article· en· W2052063554 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

VenueNotes and Records the Royal Society Journal of the History of Science · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Innovations
Canadian institutionsMcGill University
Fundersnot available
KeywordsAsepsisContext (archaeology)GermanMedicineSurgeryHistory

Abstract

fetched live from OpenAlex

This paper analyses what is possibly the most important long-term impact of Joseph Lister's method of antisepsis on surgery, namely its role in replacing surgery's traditional regime of the management of chance by what can be called a regime of modern risk management. It was a crucial step for the expansion of surgery and thus the formation of modern surgery, as we know it today. It put surgery on a par with contemporary trends in industry, transport technologies and science, and made it a component factor in the formation of a modern technology-oriented society. The paper uses the example of the German-speaking countries, which, because of the rapid and emphatic acceptance of Lister's antisepsis there, is particularly well suited for such an analysis. It shows how, in this context, risk management, as a way of dealing with uncertainty, was an integral part of the new techniques of antisepsis and asepsis.

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)0.000
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 score0.551
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.005
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 head0.054
GPT teacher head0.240
Teacher spread0.185 · 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