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Record W4399922413 · doi:10.1093/hgs/dcae016

<i>Paediatrics in the Reichsuniversität Straßburg: Children’s Medicine at a Bastion of Nazi Ideology</i>. Aisling Shalvey

2024· article· de· W4399922413 on OpenAlexaboutno aff
Beverley Chalmers

Bibliographic record

VenueHolocaust and Genocide Studies · 2024
Typearticle
Languagede
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsnot available
Fundersnot available
KeywordsNazismGenocideThe HolocaustIdeologyMedicineClassicsHistoryLawPoliticsPolitical science

Abstract

fetched live from OpenAlex

Paediatrics in the Reichsuniversität Straßburg provides a unique view of Nazi ideology’s influence on children’s health care by analyzing pediatric care at one hospital in occupied Alsace (France), established under the Nazi regime’s 1941 mandate. While the hospital’s existence was short-lived, surviving only until 1944, it garnered an enviable reputation for providing quality care to local citizens during the war. Rated the most productive research facility in the annexed territories, and the eighth most productive of all universities at the time, it was a privileged hospital that experienced no shortage of medical equipment, food, or hospital beds. Such benefits, however, were restricted to the care of those deemed worthy of life by Nazi ideology. Shalvey’s book examines the recently discovered hospital records of 869 children under age eighteen treated in clinical wards, 127 cared for in pediatric psychiatry units, and approximately 855 (15 percent of 5,704 records) cared for by internal medicine specialists. The author also evaluates the research of medical students trained at the hospital (all of whom had to be “approved” Aryans), as well as the research of senior staff.

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)0.004
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: none
Teacher disagreement score0.998
Threshold uncertainty score0.572

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0040.005
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.1710.056

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 head0.066
GPT teacher head0.312
Teacher spread0.246 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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