Nightmarish Romanticism: The Third Reich and the Appropriation of Romanticism
Bibliographic record
Abstract
Attempting to trace the intellectual history of any political movement is, at best,problematic. Humans construct political movements and the intellectual, philosophical underpinnings of those movements, and, in general, it is not one person who is doing the creating, but rather a multitude of people are involved; the circumstance of how politics is created is a web, which makes it difficult for researchers to trace the historical roots of movements. Nazi Germany has been the focus of numerous research projects to understand the intellectual roots of Nazism and the how and why they were successful in gaining and consolidating power. In line with popular theories in Sociology and History, earlier researchers have traced the intellectual roots of the Nazis in order to situate Nazi Germany as anti-modern, which by extension would situate their crimes against humanityand fascism in the same camp. In particular, Romanticism has been the movement that some historians have cited as a possible root for Nazism. The primary goal of this paper will be to disrupt the historical continuation argument, deconstruct the main parts of each of the camps, and provide support for the appropriation argument. This goal is designed to connect to the much larger debate of the state of anti-modern/modern of Nazism, and aid in showing Nazism as a modern movement. It is through researching and analyzingthe how and why the Nazis appropriated Romanticism that allows academics to study the influences from the past in the development of National Socialism, while accounting for the frame that the Nazis used to read the Romantics and the purpose for the way that Romantic literature was framed within Nazi-Germany.
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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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.068 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".