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Czechoslovakia and the Nazi <i>‘Drang nach Osten’</i>

2022· book-chapter· en· W4309171200 on OpenAlexaboutno aff
Geoffrey Field

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsnot available
Fundersnot available
KeywordsNazismAppeasementDismembermentPoliticsNazi GermanyEconomic historyPolitical scienceOrder (exchange)HistoryAncient historyArt historyReligious studiesLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract By 1935 Wiskemann’s journalism focused increasingly on the danger Hitler posed to neighboring states and the Versailles order. Her position in Germany became increasingly precarious and in July 1936 she was arrested and expelled from the Reich. She then focused increasingly on Eastern Europe and was recruited by Chatham House to write Czechs and Germans (1938) about the growing crisis in the Sudetenland that resulted in the dismemberment of Czechoslovakia at the Munich Conference. A big success and still regarded as a classic, her book led to a lecture tour in Canada and the United States. She lectured and lobbied in an effort to publicize the nature of Nazi aims in Europe and, like Elizabeth Monroe, Shiela Grant Duff, Violet Bonham Carter, and other women, became a vehement opponent of Neville Chamberlain’s Appeasement policy. A second book, Undeclared War, examining Nazism’s political and economic destabilization policies in Eastern Europe, appeared just before the outbreak of war.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.067
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.027
GPT teacher head0.250
Teacher spread0.223 · 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
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
Published2022
Admission routes1
Has abstractyes

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