Bibliographic record
Abstract
Years of efforts to temper or change the discrimination and persecution policies of Hitler's government, and times of confusion about whether it was the Führer himself or extremist elements that directed the outrages, went by before the multitude of laws and decrees, almost all of them published, left no more doubt about who was responsible. Failed attempts to enlist the British government in endeavours to bring Hitler down or at least force him to give the Jews better terms of emigration; failed plots against Hitler; and a string of Hitler's successes, seemingly unbroken until about November 1941: All this was discouraging yet also confirmed that the military arm was indispensable for regime change, and that military support for a coup d'état was not forthcoming in the face of success. At the end of 1941, however, the regime's situation seemed desperate and more promising for the conspirators. The British Empire, the Soviet Union, and the United States of America were at war with Germany, Italy, and Japan. Neither Japan nor Germany was a match for the resources of America and Russia. Hitler's strategy of waging war on one front at a time had collapsed; reality belied his predictions of victory over the Soviet Union, and his attempt to keep the United States out of the war by holding large numbers of Jews hostage had failed; it could look as though the days of his regime were already numbered.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.799 | 0.697 |
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".