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THE FORMATION OF THE LATIFUNDIA OF THE PRINCES OF ZASLAV IN VOLHYNIA (TO THE END OF THE SIXTEENTH CENTURY)

2025· article· W7160263115 on OpenAlexaboutno aff
Volodymyr Sobchuk

Bibliographic record

VenueОстрозька давнина · 2025
Typearticle
Language
FieldArts and Humanities
TopicHistorical and Cultural Studies of Poland
Canadian institutionsnot available
Fundersnot available
KeywordsEstateTreasuryRevenueHuman settlementComposition (language)Quarter (Canadian coin)

Abstract

fetched live from OpenAlex

The article examines the formation of the latifundia of the Princes of Zaslav in Volhynia from the mid-fifteenth to the late sixteenth century, tracing how relatively cohesive princely domains emerged from dispersed clusters of settlements. On the basis of act books, the family archive within the Sangushko collection, materials from the Lithuanian and Crown Metrica, and treasury records, the composition of the family landholdings, the routes of their expansion (land grants from the monarch, purchases, and marital acquisitions), and the mechanisms of estate management are reconstructed. Particular attention is paid to the first division of the estates at the turn of the 1570s – 1580s: initially as a practice of allocating revenues and usage, and subsequently as a legally formalized agreement with clearly defined boundaries, rights, and obligations of the parties. The study refines the nomenclature of settlements and the structure of the estate complex centred on the town of Zaslav. The article includes two documentary appendices and tables that summarize information on part of the clientela (servitor-vassals) of the Princes of Zaslav and present the composition of the family’s holdings across all three districts of the Volhynian Voivodeship in the last quarter of the sixteenth century.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.801
Threshold uncertainty score1.000

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 studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.009
GPT teacher head0.201
Teacher spread0.191 · 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
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
Published2025
Admission routes1
Has abstractyes

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