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Record W2615294795 · doi:10.1080/00787191.2017.1282657

Fascism as Dehumanization: Alexander Moritz Frey's Political Fables

2017· article· en· W2615294795 on OpenAlexaff
Paola Mayer, Ruediger Mueller

Bibliographic record

VenueOxford German Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsFableNazismDehumanizationPoliticsLiteraturePhilosophyReductio ad absurdumTrope (literature)EugenicsNarrativePsychoanalysisHistoryAestheticsLawArtPolitical scienceEpistemologyPsychologyMetaphysics

Abstract

fetched live from OpenAlex

This article explores Alexander Moritz Frey's use of topoi from the fable genre to satirize the political right during the Weimar Republic, particularly in its most extreme form, National Socialism. It focuses on four short narrative texts, two of them still unpublished, which attack militarism, expansionist politics, and the Nazi doctrines of racial purity and eugenics. We argue that Frey adapts the fable's techniques of defamiliarization, reductio ad absurdum, and especially its conflation of the animal and the human, to expose what he regarded as the most pernicious effect of fascism: its degradation of the human to brute beast, domestic animal, even inanimate tool.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.797
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.390
Teacher spread0.336 · 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 teacher head, not a consensus.

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

Citations1
Published2017
Admission routes1
Has abstractyes

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