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Record W2624232795 · doi:10.26522/gbuujh.v2i0.1484

A Post-World War II Tragedy: The Expulsion of Ethnic Germans From Poland and Czechoslovakia, 1945-49

2017· article· en· W2624232795 on OpenAlexaffvenue
Erica Lamontagne

Bibliographic record

Venuethe general brock university Undergraduate journal of history · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolish Historical and Cultural Studies
Canadian institutionsBrock University
Fundersnot available
KeywordsEthnic groupGermanNazismWorld War IINazi GermanyRefugeePolitical scienceEconomic historyAncient historySpanish Civil WarIdeologyPersecutionTragedy (event)HistoryLawSociologyPoliticsArchaeologySocial science

Abstract

fetched live from OpenAlex

Through a comparative approach, this essay examines the cruel and inhumane way in which ethnic Germans were expelled from Poland and the Sudetenland of Czechoslovakia in the years immediately following the end of World War II. It compares the nature of the expulsions in Poland and Czechoslovakia and how this negatively impacted the two countries in the aftermath of the expulsions. In Czechoslovakia especially, the nature of the expulsions of ethnic Germans greatly resembled Nazi policy toward Jewish people during the Third Reich. This essay also briefly examines the integration of ethnic German refugees from Poland and Czechoslovakia into both East and West Germany. As a result of ideological differences in East and West Germany, expellees had very different experiences upon resettlement, depending on where they arrived in Germany. The purpose of this essay is to break through the common misconception that most, or all, Germans at the end of World War II were criminals. Many ethnic Germans expelled from Poland and Czechoslovakia saw themselves as Poles or Czechoslovaks, and did not associate themselves with Nazi Germany.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.157
Threshold uncertainty score0.313

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0080.008
Scholarly communication0.0040.003
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.033
GPT teacher head0.254
Teacher spread0.221 · 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

Citations0
Published2017
Admission routes2
Has abstractyes

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