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Record W2095453624 · doi:10.1177/1354066110391309

Uneven and combined development and the Anglo-German prelude to World War I

2011· article· en· W2095453624 on OpenAlexaff
Jeremy Green

Bibliographic record

VenueEuropean Journal of International Relations · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsYork University
Fundersnot available
KeywordsCapitalismExpansionismGermanGeopoliticsMaterialismContext (archaeology)SociologyHistorical materialismPolitical economyMarxist philosophyPolitical scienceLawHistoryEpistemologyPhilosophyPolitics

Abstract

fetched live from OpenAlex

This article attempts to situate the approach to World War I within the context of the uneven and combined development of 19th-century European capitalism. Through a comparative analysis of German and British development within the context of the epochal transition from feudalism to capitalism, the article proposes that existing historical materialist and Realist understandings of the roots of World War 1 are inadequate. Realist analyses, stressing the primacy of ‘geopolitics’, fail to provide a convincing explanation of the precise origins of German bellicosity. Instead they assume that expansionist German behaviour was an inevitable consequence of systemic anarchy. Historical materialist accounts, preferring a sociological explanation, overstate the importance of systemic capitalist crisis and the European-wide escalation of class struggle for understanding the genesis of the war. Utilizing Trotsky’s concept of uneven and combined development, I contend, enables a more comprehensive understanding of the origins of the conflict.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.940
Threshold uncertainty score0.274

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 studies0.0000.000
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 head0.032
GPT teacher head0.277
Teacher spread0.245 · 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 designTheoretical or conceptual
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

Citations18
Published2011
Admission routes1
Has abstractyes

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