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Record W4313575286 · doi:10.4324/9781003322313

The Nazi Party and the German Communities Abroad

2023· book· en· W4313575286 on OpenAlexaboutno aff
Rafael Athaídes, João Fábio Bertonha

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicHistory and International Relations
Canadian institutionsnot available
Fundersnot available
KeywordsGermanNazismPolitical scienceHistoryArchaeology

Abstract

fetched live from OpenAlex

The Nazi Party and the German Communities Abroad examines the German Nazi Party’s actions around the world in the 1930s and 1940s. The book particularly focuses in on the formation and development of the Auslandsorganization der NSDAP (AO) (Nazi Party/Foreign Organization), the party branch charged with the task of connecting with foreign fascist movements and, especially with Germans living abroad. The authors follow the creation of the AO and its development in Germany, along with its actions throughout the world, including Europe, Asia, Africa and North America, before finally focusing on Latin America. The Latin American case is then presented in both general and particular aspects, including countries such as Argentina, Chile, Brazil, Mexico and Colombia. The study draws on many primary sources and is extensively referenced; an index with 700 references related to the action of Nazism in the American continent is presented, including the American and Canadian cases. This volume will be of interest to researchers of the history of Nazism and Latin America.

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 score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0040.002
Open science0.0000.001
Research integrity0.0010.001
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 head0.042
GPT teacher head0.351
Teacher spread0.310 · 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
Published2023
Admission routes1
Has abstractyes

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