Bibliographic record
Abstract
Chapter 4 focuses on the months from June to December 1941. As the Germans and their Axis partners invaded Soviet territory, they carried out massacres of Jews, murdering hundreds of thousands of men, women, and children in open-air shootings. Chaplains accompanied the Wehrmacht in this period, too, as the regular military cooperated with SS killing squads. Along with violence against Jews and Soviet POWs, the German invasion brought widely publicized efforts to rescue Christianity from Communism. Central to that project was the reopening of churches that had been closed under Soviet rule. This chapter uses a set of photographs of the reopening of a church in Zhytomyr to analyze the linkage between saving Christianity and killing Jews and to understand how military chaplains fit into that equation. Chaplains were key figures in a narrative that recast German violence as a story of Christian redemption. Their reports and sermons rarely mention atrocities but they communicated awareness indirectly in ways that fixated on the Germans’ own suffering. This chapter uses Jewish sources to contextualize and understand German accounts without reproducing their erasure of the victims.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".