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Record W327477544

Religion and Culture in Early Modern Russia and Ukraine

2004· article· en· W327477544 on OpenAlexvenueno aff
Tom R. Trice

Bibliographic record

VenueCanadian Slavonic Papers · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsnot available
Fundersnot available
KeywordsPeasantBackwardnessPopulationContext (archaeology)Argument (complex analysis)PoliticsEarly modern EuropeHistoriographyPolitical scienceSociologyHistorySocial scienceClassicsLawEconomic growthArchaeologyEconomics
DOInot available

Abstract

fetched live from OpenAlex

Samuel H. Baron and Nancy Shields Kollmann, eds. Religion and Culture in Early Modern Russia and Ukraine. DeKaIb, 111.: Northern Illinois University Press, 1997. $35.00, cloth.Stressing the complex, multifaceted, ambiguous nature of lived experience in early modern Russia and Ukraine, this collection of essays from the second workshop in Early East Slavic Culture ( 1993) exemplifies the variety of ways in which cultural studies enriches our understanding of societies that far too often have been reduced to a one-dimensional foil to the modernizing Petrine state. This superb collection is organized into three sections.Part One addresses social and cultural practice in the context of peasant agriculture, petitions to the tsar, and the effects of changing social systems on the political history of early modern Rus'. Drawing on studies of pre-industrial European societies, Janet Martin questions longstanding assumptions about the inherent backwardness and inefficiency of agriculture in pre-modern Muscovy by suggesting that the peasant farmer strove for economic equilibrium based on rational assessments of the size, needs, and resources of the local population. As Martin indicates, such an interpretation calls for careful consideration of how state policies, for example, territorial expansion and military recruitment, not to mention the institution of serfdom, may have affected population density and thereby the choice of agricultural methods. Martin's portrait of a dynamic agricultural society finds indirect support in Nancy Kollmann's argument about the diversity of early modern identities. In an astute analysis of petitions to the tsar, Kollmann further undermines the mythic underpinnings of the autocratic state by demonstrating that the inhabitants of early modern Muscovy remained embedded in multiple networks based on locality, profession, rank, family, and household, which provided the primary basis for protection, mutual aid, not to mention their interactions with the state. The complexity of pre-modern society is also at the heart of Frank Sysyn's examination of the myriad factors contributing to widespread social unrest and political change in early modern Ukraine. Discussing the makeup, as well as practical and political effects of three, interlocking social systems-Polish-Lithuanian legal, corporate orders, associational and regional groupings, and patronclient relationships-on daily life, Sysyn not only stresses the ways in which the seventeenth-century social order failed to correspond to the inflexible Polish-Lithuanian corporate ideal, but ultimately provided alternative sources of social identity and cohesion for overturning that order.Part Two is dedicated to issues of religion and belief. This section opens with Michael Flier's detailed analysis of seventeenth-century changes to the Muscovite Palm Sunday ritual, which he attributes to the Patriarch Nikon. In addition to reasserting the more mundane, personal political motives behind the celebrated churchmen's reformism, Flier argues that the newly revised Palm Sunday ceremony made use of current Greek commemorative patterns to enhance the historicity, dramatic effect, and contemporary appeal of this royal ritual so as to reinforce Muscovy's claims to leadership of the Orthodox world as the New Jerusalem. Ritual innovation gives way to varieties of belief in Eve Levin's essay on the supplicatory prayers of Muscovite priests and laypeople. …

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.560

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 studies0.0000.000
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 head0.007
GPT teacher head0.223
Teacher spread0.216 · 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
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
Published2004
Admission routes1
Has abstractyes

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