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Record W1997041679 · doi:10.1159/000363291

Putting Experimental Dynamics into the Field: The German <b><i>‘Ostfeldzug'</i></b> and the Creation of Emergency Care Chains in Military Neurology and Neurological Surgery, 1941-1945

2014· article· en· W1997041679 on OpenAlexafffund
Frank W. Stahnisch

Bibliographic record

VenueEuropean Neurology · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMedical History and Research
Canadian institutionsUniversity of Calgary
FundersMinistère de la Défense NationaleUniversity of Calgary
KeywordsGermanNeurologyWorld War IIFirst world warClinical neurologyPsychologyClassicsManagementLawHumanitiesPolitical scienceHistoryPsychiatryPhilosophyNeuroscienceEconomics

Abstract

fetched live from OpenAlex

BACKGROUND: The interconnections between the history of neurology and neurological surgery with the development of modern, technological warfare are a vastly under-researched area of medical history. The main objectives of this paper are hence to contribute to the understanding and analysis of a major case example from World War II. MATERIALS: The article's research is based on work at the Bundesarchiv in Koblenz, the Max Planck Gesellschaft in Berlin, and literature regarding the Fuehrungsstab der Luftwaffe, undertaken as part of a larger scale project on the history of the neurosciences and psychiatry in the first half of the 20th century. SUMMARY: The current article focuses particularly on the Ostfeldzug of the Wehrmacht and the creation of emergency care chains in military neurology and neurological surgery. Its results show how major German neurologists, such as Otfrid Foerster, Wilhelm Toennis, Georg Merrem and Klaus Joachim Zuelch have contributed to the development of emergency care chains in military neurology. Key Messages: In conclusion, despite the atrocities and often-inhumane ways through which knowledge was gathered in contemporary military neurology, a better understanding of modern neurology can be gained from a critical assessment of the history of military neurology during World War II.

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 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)0.001
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 score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.017
GPT teacher head0.253
Teacher spread0.236 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2014
Admission routes2
Has abstractyes

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