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Record W4313141861 · doi:10.5040/9781350034945

A Cultural History of Genocide in the Era of Total War

2021· book· en· W4313141861 on OpenAlexaboutno aff

Bibliographic record

VenueBloomsbury Publishing Plc eBooks · 2021
Typebook
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsnot available
Fundersnot available
KeywordsGenocideIdeologyEmpireArmenianPolitical sciencePower (physics)NazismPoliticsWorld War IIThe HolocaustEconomic historyHistoryPolitical economyAncient historySociologyLaw

Abstract

fetched live from OpenAlex

<JATS1:p>The period between the two World Wars was characterized by an acceleration of mass violence across the world. Developments in technology, communications, ideology, global political and economic integration, and the organization of society greatly expanded the power and reach of states while radicalizing ideologies of domination and control. Two major 20th-century genocides, the Armenian Genocide in the Ottoman Empire and the Nazi Holocaust of European Jews, are the terrible bookends of this period; they were preceded and informed by colonial genocides, such as the genocide of Herero and Nama peoples in German South West Africa from 1904 -1914, and by ongoing genocidal processes, especially in settler colonies such as the United States, Canada, and Australia, in the renewed Russian empire under the USSR after 1917, and in the expanding Japanese empire between the wars. The essays in this volume examine the dynamics of genocide during this period, when states could draw on new technologies, new identities, and new global ideologies of control to amplify the speed, size, and impact of their destructive impulses towards unwanted populations. The chapters demonstrate the lasting consequences of genocidal processes on the world today, not simply for survivor communities and survivor diasporas, but also on the forms of organizing the world, the concepts of power, and the particular existential crises that we as a species have yet to address and transform.</JATS1:p>

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.313
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.263
Teacher spread0.232 · 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 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
Published2021
Admission routes1
Has abstractyes

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