Eberhard Kranzmayer’s dovetailing with Nazism: His fascist years and the ‘One Standard German Axiom (OSGA)’
Bibliographic record
Abstract
Eberhard Kranzmayer is arguably Austria’s most influential German dialectologist. The present article traces Kranzmayer’s Nazi years (NSDAP member number 8.061.495) in archival sources in Vienna, Graz, Munich, Klagenfurt and Berlin. This account reconstructs Kranzmayer’s role in the Nazi machine, especially his directorship of the ‘Institut für Kärntner Landesforschung’ [Institute for Carinthian Provincial Research]. Kranzmayer’s pan-German and völkisch orientations long predate his Nazi years; his studies under the Nazis are congruent with the positions he held pre- and, significantly, post-World War II. The new data presented here show that Kranzmayer’s second denazification proceedings was disingenuous. On the disciplinary level, Kranzmayer’s pan-German stance has had profound influence on the modelling of Austrian German, which today has caused many controversies; indeed, today, it seems tied inter alia to a ‘One Standard German Axiom’ (OSGA). It is argued that any materials that Kranzmayer collected, edited and published would need to be vetted by period historians for pan-German bias and mitigated before use.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.016 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".