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Record W1491435743

Prague in Black: Nazi Rule and Czech Nationalism

2007· article· en· W1491435743 on OpenAlexvenueno aff
Cathleen M. Giustino

Bibliographic record

VenueCanadian Slavonic Papers · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicEastern European Communism and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsProtectorateNazismNationalismIntelligentsiaIndirect ruleGermanEconomic historyHistoryPolitical scienceLawColonialismPoliticsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Chad Bryant in Black: Nazi Rule and Czech Nationalism. Cambridge, Mass.,: Harvard University Press, 2007. xv, 378 pp. Illustrations. Maps. Notes. Index. $49.95, cloth.In this important book, Chad Bryant narrates a history of Czech experiences in the Nazioccupied Protectorate of Bohemia and Moravia during World War II with the goal of explaining how those experiences contributed to the expulsion of three million from postwar Czechoslovakia. While readers will not find in it a local history of as the title suggests (the title comes from Jaroslav Seifert's poem Prague in Black [p. 369]), they will gain productive new avenues for thinking about how the Nazi occupation helped make the formerly multi-ethnic Bohemian lands almost purely Czech and set the stage for communist social leveling and dirigisme.Bryant's discussion of Nazi in the Protectorate is fascinating. Germanization policies there were never dictated by hard-and-fast theory or a plan that was fully formed in 1939. Instead of calling for the total elimination of all Czechs and their complete replacement with German settlers, Germanization sought to identify and change those Czechs who could be German. Bryant proves this policy evolved from pragmatic contingencies, including wartime economic and demographic realities, and interagency rivalries among Reich and Protectorate state actors. Karl Valentin MOller's revised theory gave ideological legitimacy to Nazi plans to make Czechs German. This German anthropology professor in overturned the argument that racial mixing brings decline, concluding that mixing made Czechs potential Germans (pp. 117-119).When discussing the brutal rule of Reinhard Heydrich from September 1940 until his assassination in May 1941, Bryant very insightfully contrasts Heydrich's ruthlessly implemented plans to kill all the Protectorate's Jews and Roma and his treatment of nonJewish Czechs, half of whom he wanted saved for Germanization. Heydrich started to prepare to make Czechs German by examining the Germanizability of individual Czechs. Among the book's many well-selected photos are two of test reports from a mixed Czech-German couple's marriage application (pp- 164-165). These photos show that the tests included physical examinations of posture, cranial shape, and hair and eye colour. Bryant points out, however, that [...] often it was non-physical characteristics that betrayed a German interior camouflaged in false Czech consciousness. Clean houses, spinning wheels, class, virility, sexual morality, and social behavior were criteria for membership (p. 159). After Heydrich's assassination, thousands of Czechs were executed and the village of Lidice was destroyed as retribution and an obedience lesson.Bryant seeks to understand the causal relationship between Nazi policies in the Protectorate and the postwar expulsions of millions of from restored Czechoslovakia. Members of UVOD (Central Leadership of Home Resistance [Ustfedni vedeni odbjoe domaciho]) first, and most fiercely called for total expulsion (p. 97). UVOD was formed in 1940 from the remnants of non-Communist resistance groups. It operated in the Protectorate, but kept close ties with the government-in-exile in London of former Czechoslovak President, Edvard BeneS. …

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.733
Threshold uncertainty score0.802

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.263
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 teacher head, 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

Citations1
Published2007
Admission routes1
Has abstractyes

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