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Record W2243925601 · doi:10.1017/cbo9780511845598.018

Dialectical materialism and Soviet science in the 1920s and 1930s

2010· book-chapter· en· W2243925601 on OpenAlexaff
Daniel P. Todes, Nikolai Krementsov

Bibliographic record

VenueCambridge University Press eBooks · 2010
Typebook-chapter
Languageen
FieldArts and Humanities
TopicPhilosophy, Science, and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRussian historyDialecticDialectical materialismMaterialismPolitical scienceSocial scienceEpistemologyHistoryEconomic historySociologyPhilosophy

Abstract

fetched live from OpenAlex

With the Bolshevik coup in October 1917 and victory in the Civil War four years later, the philosophy underlying Marxism, dialectical materialism, became a cultural resource – not just a philosophy, but also a ruling ideology and language of accommodation to the regime's policies and priorities. State officials, political figures, ideologues, philosophers and scientists all drew upon this cultural resource to pursue their ends – to seek truth, to display loyalty to the regime, to struggle for resources, power or survival. Dialectical materialism itself became a terrain of contention and was constantly redefined as it was incorporated into Soviet culture in the 1920s and 1930s.

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: Other · Consensus signal: Other
Teacher disagreement score0.996
Threshold uncertainty score0.997

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 studies0.0010.006
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 head0.030
GPT teacher head0.190
Teacher spread0.160 · 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
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

Citations5
Published2010
Admission routes1
Has abstractyes

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