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IF I WERE THE EMPEROR …»: HEINRICH CLASS'S IDEAS AND JUDGMENTS ABOUT THE PAN-GERMAN ALTERNATIVE OF DEVELOPMENT OF GERMANY (the first quarter of the 20th century)

2016· article· en· W4313377908 on OpenAlexaboutno aff
Alexander A. Turygin

Bibliographic record

VenueBulletin of Kemerovo State University · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsnot available
Fundersnot available
KeywordsEmperorGermanQuarter (Canadian coin)Class (philosophy)Ancient historyArtHistoryClassicsLiteraturePhilosophyArchaeologyEpistemology

Abstract

fetched live from OpenAlex

The paper analyzes one of the major sources on Pan-Germanism history (not translated in Russian) – a political lampoon by Heinrich Class, the leader of the Pan-German Union. The author considers the structure, logics of statement, and also Class‘s essentially important conceptual approaches regarding the reorganization of the German state and society on the eve of World War I. Class's conception attracts research interest, first, as it reflects the views of the conservative nationalist block of the German elite, secondly, as it is the source testifying to a change of consciousness in a part of the German society that predetermined its loyalty to the national socialist regime. The fact of its numerous reprinting, including post-War (more than ten times) testifies to the popularity of Class‘s lampoon. The author critically considers Class‘s intention to keep the name of the lampoon even after the revolution and the crash of monarchy in Germany. The paper considers the researchers‘ points of view on the problem of Pan-Germanism and Pan-German published works (J. Leicht, R. Hering, H. Hagenlücke). The paper bases on the documents collected by the author in German archives and libraries.

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)0.004
metaresearch head score (Gemma)0.003
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 score0.030
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.032
Scholarly communication0.0110.005
Open science0.0010.003
Research integrity0.0020.002
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 head0.012
GPT teacher head0.224
Teacher spread0.213 · 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
Published2016
Admission routes1
Has abstractyes

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