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Record W4365445298 · doi:10.1017/9781108767712.009

From Nazi Past to Christian Future

2023· book-chapter· en· W4365445298 on OpenAlexaff
Doris L. Bergen

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicReligion, Theology, History, Judaism, Christianity
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNazismGermanChristianityPolitical scienceJudaismContext (archaeology)The HolocaustLawReligious studiesHistoryTheologyPhilosophyArchaeology

Abstract

fetched live from OpenAlex

Chapter 7 considers the Wehrmacht chaplains after World War II. Defeat and occupation created barriers but also possibilities. Christianity provided common ground with the Allies, including US, French, and British chaplains. Former Wehrmacht chaplains, like Werthmann, became spokesmen for German soldiers and mediators with the victors. Defeat opened roles, like ministering to POWs and imprisoned Nazis. In the Cold War context, chaplains presented themselves as having been a Christian bulwark against Nazi paganism and now against Communism. Thus chaplains who had legitimated the Nazi German war effort found ways to legitimate themselves. The chapter contrasts the Wehrmacht chaplains’ postwar roles with US Jewish chaplains, who became strong advocates for Jewish displaced persons. Popular culture continued to present the Wehrmacht chaplains as tragic heroes who had tried to uphold Christian ethics in the face of evil, but at the level of policy, the old model of military chaplaincy was repudiated. East Germany did not permit chaplains, and in West Germany, the new chaplaincy created in the 1950s was tasked not with boosting morale but with being a voice of conscience in the military.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.466
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.023
GPT teacher head0.231
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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