Bibliographic record
Abstract
The Introduction opens by establishing a central point of the book: that German military chaplains were physically present at sites of mass killing of Jews and other victims of the Holocaust and World War II. The 1941 massacre of Jewish children at Bila Tserkva in occupied Ukraine is described and analyzed using German and Jewish sources. The theme of power and legitimation, which runs throughout the entire book, is presented. Building from the killing at Bila Tserkva and the role of chaplains there, the chapter shows how the Wehrmacht chaplains had considerable power. They served to legitimize Hitler’s regime and its genocidal war and played a key role in creating a reassuring narrative of events for German soldiers, their families, and the chaplains themselves. Other themes introduced include systems and dynamics (the importance of the chaplaincy as an institution), the forces of war and the confusion it generates, and habit: chaplains’ actions and decisions even before the war set patterns that became entrenched. The sources and methodology are explained, with emphasis on integrating Jewish sources.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.384 | 0.215 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".