Die Verwissenschaftlichung der "Judenfrage" im Nationalsozialismus, Horst Junginger (Darmstadt, Germany: Wissenschaftliche Buchgesellschaft, 2011) (Veroffentlichungen der Forschungstelle Ludwigsburg der Universitat Stuttgart 19), 480 pp., hardcover 59.90
Bibliographic record
Abstract
One of the more egregious and sinister undertakings of the Nazi Party during the 1920s and 1930s was the attempt to produce a supposedly “scientific” basis for their virulent antipathy towards the Jews. Although Adolf Hitler had endorsed the Catholic Church's centuries-old anti-Judaism, a large group of radical German ideologues believed that a more secular and scholarly foundation was required. After 1918, they believed, the churches had lost credibility, and an ever-increasing number of Germans supposedly no longer felt any attachment to what had come to be regarded as an outdated and pre-modern system of beliefs. The Nazi Party radicals therefore promoted the idea that a more “rational” and religion-free set of values based on race should be fostered. These values would provide the political and legal justification for the measures against Jews that the Nazis began to introduce immediately after their seizure of power in January 1933. The plausibility of this politically-based program was enhanced by the recruitment of numerous academics who shared the belief that National Socialist scholarship would play a leading role in the development of a Nordic master-race, freed of any Jewish “impurities.” The pursuit of a credible scholarly doctrine of race, drawing principally from the disciplines of biology, sociology, and history, is the central focus of Horst Junginger's perceptive study.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".