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Record W2051692809 · doi:10.5539/jpl.v1n4p77

The United States’ Policy toward Germany 1933--1938

2008· article· en· W2051692809 on OpenAlexvenueno aff
Jian Xu

Bibliographic record

VenueJournal of Politics and Law · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceNazi GermanyPosition (finance)Power (physics)Balance (ability)West germanyForeign policyOrder (exchange)Political economyEconomic historyPublic administrationLawPoliticsEconomics

Abstract

fetched live from OpenAlex

Britain was the main conflict in the west. And the United States’ policy toward Germany was subject to this conflict. In order to create in Europe a balance of power which was in the United States’ favor, and to prevent Britain and France from controlling Europe completely, the United States adopted a neutral policy toward Germany, and did help the recovery of Germany. And Germany wanted to absorb a lot of fund to recover her economy and rebuild her army, with the hope of regaining the position as one of the western powers. So it was necessary for both two countries to maintain good relationship between them. But with the rise of Nazi Germany, Hitler did adopt a very aggressive diplomatic policy, which seriously harmed the United States’ interests. So the United States’ policy toward Germany began to change. This thesis tries to analyze the United States’ policy toward Germany before the breakout of Second World 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)0.002
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: none
Teacher disagreement score0.089
Threshold uncertainty score0.176

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.003
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.041
GPT teacher head0.312
Teacher spread0.271 · 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
Published2008
Admission routes1
Has abstractyes

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