Bibliographic record
Abstract
Henry Stimson and the Nuremberg Tribunal When the Allied victory over the Axis powers is becoming certain, American officials start making plans for the occupation of Germany. In the aftermath of the invasion in 1944, some of these plans are brought to the attention of the Secretary of the Treasury in Roosevelt’s war cabinet, Henry Morgenthau. These plans infuriate him, because he considers them too lenient on Germany, which in his opinion should be reduced to an agrarian economy after its Nazi leadership has been summarily executed. The President at first agrees with this line of action as do most of the members of his cabinet. The only one opposing these ideas is the Secretary of War, Henry Stimson, suggesting economic reconstruction and an international tribunal instead. His opposition seems in vain, when Roosevelt and Churchill publicly agree to this course of action towards Germany during a meeting in Quebec. But the ‘Morgenthau plan’ unravels when it is leaked to the press and it causes an uproar. Roosevelt fears for his re-election chances and hastily retreats. But he makes no decision on the issue and Stimson has to wait for his opportunity. It comes in the person of a new President: Harry Truman. He agrees to Stimson’s proposal for an international tribunal and this brings the United States on board of an allied majority for what is later to become the Nuremberg Tribunal.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.057 | 0.022 |
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".