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Record W2934393019 · doi:10.3138/gsi.12.2.07

Nationalism, Necessary and Sufficient for Genocide? A Counterfactual Account through a Comparative Case Study of Nazi Germany, Shōwa Japan, and Fascist Italy

2018· article· en· W2934393019 on OpenAlexaffvenue
Cheng Xu

Bibliographic record

VenueGenocide Studies International · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicItalian Fascism and Post-war Society
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGenocideNationalismMilitarizationIdeologyPolitical scienceCounterfactual thinkingPolitical economyColonialismNazismSociologyLawPoliticsEpistemology

Abstract

fetched live from OpenAlex

This paper seeks to explain the counterfactual occurrence of non-genocide under conditions of nationalism, colonialism, and war. Thus, this paper contributes to the debate on the necessary and sufficient conditions for genocidal violence. By controlling for regime type, colonialism, and the presence of nationalism, this paper argues that key junctures in state-formation and specific types of nation-building—namely through total militarization and exclusionary founding narratives—are the conditions that lead societies towards a genocidal turn. The interaction of these elements enables would-be genocidaires to overcome the problem of collective action in mass mobilization. By comparing the similar cases of Nazi Germany, Shōwa Japan, and Fascist Italy, this paper demonstrates how the presence of an exclusionary nationalist ideology in and of itself can be a necessary but insufficient condition, and there are other contingent conditions that must be met in order for elites to be able to mobilize this ideology towards collective and mass violence.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.084
GPT teacher head0.403
Teacher spread0.319 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2018
Admission routes2
Has abstractyes

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