MétaCan
Menu
Back to cohort

Scientific Responsibility and Political Context: The Case of Genetics under the Swastika

2010· book-chapter· en· W958967542 on OpenAlexaff
Diane Β. Paul, Raphael Falk

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRace, Genetics, and Society
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPseudoscienceContext (archaeology)Political scienceAgency (philosophy)PoliticsNonsenseSociologyEnvironmental ethicsLawSocial scienceGeneticsPhilosophyBiologyMedicine

Abstract

fetched live from OpenAlex

Study of biology flourished under the swastika. Although we tend to dismiss Nazi science as pseudoscience and equate research in biology with racial hygiene, the history of biology during the Third Reich was in fact quite complex. Work supported by Heinrich Himmler's Das Ahnenerbe (“ancestral heritage”), the research and teaching arm of the Schute-Staffel (SS), was indeed racist nonsense (Deichmann 1996, pp. 251–76). But most of the science supported by the Deutsche Forschungsgemeinschaft (DFG), the major government funding agency, would have been considered mainstream science in the 1930s and 1940s. Its content and standards differed little from those of the science being pursued elsewhere in the western world.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score0.999

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 studies0.0010.004
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.017
GPT teacher head0.225
Teacher spread0.208 · 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 designTheoretical or conceptual
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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCambridge University Press eBooksSame topicRace, Genetics, and SocietyFrench-language works237,207