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Record W2559468285 · doi:10.3138/cjh.49.2.292

<i>To Forget It All And Begin Anew: Reconciliation in Occupied Germany 1944-1954</i>, by Steven M. Schroeder

2014· article· en· W2559468285 on OpenAlexaffvenueabout
Tomaz Jardim

Bibliographic record

VenueJournal of History · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsNazismGermanFaithLawSociologyGovernment (linguistics)Political sciencePoliticsTheologyHistoryPhilosophy

Abstract

fetched live from OpenAlex

To Forget It All And Begin Anew: Reconciliation in Occupied Germany 1944-1954, by Steven M. Schroeder. Toronto, University of Toronto Press, 2013. xiii, 237 pp. $29.95 US (paper). It is German Evangelical theologian Hans Asmussen that Steven M. Schroeder owes the title of his insightful new book. In a letter penned the Allied Control Council in 1946, Asmussen captured the spirit of many of his countrymen when he pleaded with occupation authorities grant his conquered nation a chance move on and escape troubling questions about the Nazi past--a chance to forget it all and begin anew. As Schroeder makes clear, however, the Allies had intention of permitting the German people forget, but instead made the acknowledgment of responsibility for the crimes of the Nazi era a prerequisite for any steps toward national self-determination. Yet if the German public was largely hostile any acknowledgment of collective guilt or responsibility for National Socialism, how then did the post-war Germanys so successfully transform themselves into peaceful and powerful members of the Eastern or Western blocs? According Schroeder, this metamorphosis, which he describes as one of the most remarkable events of the twentieth century, was propelled a significant degree not just by government and military officials, but by non-governmental organizations whose role in the post-war process of reconciliation largely has remained overlooked until now (p. 3). Schroeder's book elucidates the vital contribution of NGOs of various stripes and in all occupational zones, but pays particularly close attention those that were faith-based yet at times pushed political agendas. Schroeder's argument is that this highly varied host of grassroots organizations succeeded in spurring reconciliation between the German people and the victims of Nazi persecution and aggression by creating meaningful face-to-face dialogue and relationships; these involved a level of trust that state and military authorities generally had been unable forge. Schroeder begins his book with a look at the relief efforts of the Protestant and Catholic churches in occupied Germany and the aversion of the churches any acknowledgment of German guilt or responsibility. He argues that a spurious perception of the antifascist credentials of both the Protestant and Catholic churches led the Allies grant them a leading role in the moral reeducation of the German people. In reality, however, church leaders showed themselves be singularly uninterested in leading their parishioners take ownership of the Nazi past, and instead helped fashion a self-serving image of German victimhood Nazism that would endure for years come. As evidence, Schroeder points in part a remarkable letter from Protestant Bishop Theophil Wurm the Archbishop of Canterbury, in which he described the Allied treatment of the conquered German people as no different, in its essentials, from Hitler's plan stamp out the existence of the Jewish race. …

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.056
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.009
Scholarly communication0.0060.006
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.032
GPT teacher head0.282
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2014
Admission routes3
Has abstractyes

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