Hitler's Viennese period (1908 - 1913): influences on his antisemitic attitudes
Bibliographic record
Abstract
This master diploma thesis is concerned with Hitler's stay in Vienna during the period from 1908 to 1913 and the way in which his experiences from this period influenced the anti-Semitic views presented especially in his crucial work, Mein Kampf. The first, introductory chapter describes Vienna at the turn of the 20th century and also factors leading to the emergence of the specific atmosphere of this period, called fin de siècle. The focus of the second chapter is put on the issue of Jewish population in Vienna, i.e. a growing number of Jews in the city, the difference between the two basic groups of Jews (east and west), and especially the sorts of anti-Semitism which could be encountered in Vienna at that time. The third, last chapter is dedicated to Adolf Hitler, his life before his arrival to the capital, and his way of life and occupation in Vienna. The last part of the chapter is focused on the anti-Semitic quotations in Mein Kampf and their probable sources in Hitler's Viennese experiences. The aim of the thesis is to determine how Hitler's stay in Vienna influenced his later anti- Semitic attitude.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".