Otto Strasser, The Nazi Party, And The Politics Of Opposition
Bibliographic record
Abstract
What do we know about Otto Strasser? He and his brother Gregor were highly influential in the early years of the Nazi party; therefore, what should we consider when looking back? To fully understand the individual, we must investigate and analyze: Strasser's post-Nazi Party life, his post-Nazi political aspirations, and the apparent whitewashing of his past as a Nazi. The latter of which most individuals gleaned solely from the fact that he, himself, an ardent National Socialist, was, nonetheless, an opponent of Adolf Hitler. By analyzing Strasser's assertions in his numerous books, articles, and chapters, and comparing them with the voluminous historical record, the project outlined below calls to attention Strasser's attempts to transform his brand of Nazism into an acceptable political ideology. At first, during his post-Nazi life, Strasser moved around Europe, dodging Nazi assassins everywhere he went. Eventually, Strasser arrived in North America, more precisely, Canada. He spent roughly 12 years there before the West German state reversed the ban on his citizenship instated by Hitler. Strasser entered West Germany under state supervision in 1953, with particular caveats regarding his entitlement to a pension. In his time away from the Nazis, Strasser wrote about his earlier association with the Party, often perfidiously. He authored numerous books describing his relationship with Adolf Hitler and the Nazi Party, painting himself as an aberration of Nazism and whitewashing his past by utilizing his position as an opponent of the Hitler regime. Seeking to dissimulate his past and remove from his background what was commonly deemed offensive about the Nazis, Strasser gave his opinion to everyone and anyone who would listen, even going as far as to provide a—somewhat informed—perspective on Hitler's next moves and actions during the war. Strasser was not precisely a full-fledged Nazi, but he had more in common with Der Führer than he was willing to admit. However, his break with Hitler gave him a modicum of acceptance and even legitimacy in the West. Because of his detachment from Hitler, Strasser received attention and legitimacy far beyond what a card-carrying Nazi could expect from the Allies during the war years.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.016 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".