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Record W2127068661 · doi:10.1017/s0008938909991038

Preparing for Victory: Heinrich Hunke, the Nazi<i>Werberat</i>, and West German Prosperity

2009· article· en· W2127068661 on OpenAlexaff
Pamela E. Swett

Bibliographic record

VenueCentral European History · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsProsperityNazismAllegianceVictoryNazi GermanyConsumption (sociology)GermanWorld War IIPolitical scienceEconomic historyEconomyEconomicsLawSociologyHistorySocial sciencePolitics

Abstract

fetched live from OpenAlex

When we think about the Third Reich, the first images that come to mind are not those associated with buying and selling. Though an increasing number of studies have appeared on consumer habits and policies toward consumers, the literature on the Nazi period has been dominated by a focus on production, specifically war production. For every study of the consumer economy, there have been dozens on the Four-Year Plan, the use of foreign and slave labor, and heavy industry. In recent years a number of historians have begun to question this imbalance. Hartmut Berghoff and Wolfgang Koenig have argued that the regime encouraged “virtual consumption” through images of a future postwar era of peace and prosperity: the people's car, the people's refrigerator, and other products that would be available to all once victory had been achieved. Nancy Reagin and Irene Guenther have provided compelling material on the responses of female consumers to the decreasing availability of many household items, starting with the introduction of the autarkic Four-Year Plan. Nonetheless, this recent wave of interest in issues of consumption has tended to concentrate on the prewar years of the regime; after 1939, most historians merely emphasize the growing shortage of goods as the war dragged on. One exception is Goetz Aly, who has maintained that allegiance to the regime was secured through the dissemination of goods stolen from Jews and the occupied territories. But his arguments have not convinced everyone, and his focus on the distribution of goods merely as a means of generating political support says little about how it fit in with wider patterns of consumer expectations and long-term economic thinking.

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)0.001
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0040.004
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.025
GPT teacher head0.268
Teacher spread0.244 · 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
GenreEmpirical

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

Citations3
Published2009
Admission routes1
Has abstractyes

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