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Record W4387107130 · doi:10.30965/22102388-12340020

Scientific Modernity vs. Cultural Tradition in Imperial Russia

2023· article· en· W4387107130 on OpenAlexaff
Julia Berest

Bibliographic record

VenueJournal of Modern Russian History and Historiography · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Theory and Influence
Canadian institutionsWestern University
Fundersnot available
KeywordsIdeologyModernityHistoriographyContext (archaeology)Theme (computing)AestheticsSubject (documents)SociologyHistoryPolitical sciencePhilosophyLawArchaeologyPolitics

Abstract

fetched live from OpenAlex

Abstract The emergence of modern science in Russia was a belated and rather abrupt development, unfolding rapidly in the 1860s and significantly challenging Russian traditional culture rooted in the Orthodox religion. As in Western Europe, the spread of scientific ideas that increasingly undermined the religious worldview was controversial and unsettling to many conservative thinkers. In Russia, however, controversy around the religious implications of science was more ideologically charged and complex because it involved the old, waxing question of Russia’s relationship with the West. While Dostoevskii’s attitude towards science has been a subject of long-standing debate, many questions remain overlooked and some are highly controversial. Dostoevskii’s reaction to J. S. Mill (mediated by Strakhov) is one important aspect that has been overlooked in current historiography. Mill’s Logic, widely known to European readers, played a significant role not only in creating the modern philosophy of science but also in stimulating the debate on the relationship between science and religion. By placing the views of Strakhov and Dostoevskii into a European intellectual context, this essay offers a re-evaluation of the theme of science in the works of the two most prominent conservative thinkers in nineteenth-century Russia.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.010
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.281
Teacher spread0.244 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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