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Record W2063151754 · doi:10.1093/shm/15.3.481

A Darker Shade of Green: Medical Botany, Homeopathy, and Cultural Politics in Interwar Germany

2002· article· en· W2063151754 on OpenAlexafffund
Michael G. Kenny

Bibliographic record

VenueSocial History of Medicine · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsSimon Fraser University
FundersSimon Fraser UniversityUniversity of Toronto
KeywordsHomeopathyPoliticsGermanQuackeryContext (archaeology)NazismEthnobotanyTraditional medicineAncient historyHistoryEthnologyLawArchaeologyMedicinePolitical scienceMedicinal plantsAlternative medicine

Abstract

fetched live from OpenAlex

In 1941 a proposal was made to Nazi SS Reichsführer, Heinrich Himmler, that extracts of a South American plant, Dieffenbachia seguine, might be used for the mass sterilization of racially undesirable war prisoners. The proposal was based on published animal fertility research conducted by Dr Gerhard Madaus, co-founder of a firm that produced and marketed natural medicinals. His fertility experiments were part of a broader series aimed at evaluating the scientific validity of ethnobotanical folk-knowledge. This article traces the historical background to the Madaus research: first, the role of homeopathy in the introduction of Dieffenbachias to western medicine; secondly, the social context of German 'alternative' medicine in the interwar period; and finally, the role of Madaus himself, whose homeopathically-oriented research on botanical medicinals inadvertently initiated the chain of events described here.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.989
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0110.029
Scholarly communication0.0070.004
Open science0.0000.005
Research integrity0.0030.003
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 head0.067
GPT teacher head0.282
Teacher spread0.215 · 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.

Study designQualitative
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

Citations15
Published2002
Admission routes2
Has abstractyes

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