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Record W4396656493 · doi:10.31518/2618-9100-2024-2-8

The Structure of the Vologda Bishop’s Court in the Last Quarter of the 17th Century (Based on the Materials of Account Books)

2024· article· en· W4396656493 on OpenAlexaboutno aff
Nikita Bashnin

Bibliographic record

VenueHistorical Courier · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsBishopsQuarter (Canadian coin)TreasuryCivil servantsHistoryMedicineArtLawPolitical scienceArchaeologyPolitics

Abstract

fetched live from OpenAlex

The article presents the results of a study of two account books of the Vologda Episcopal House of St. Sophia in the last third of the 17 th century.The analysis of the list of bishops who received salaries showed that the most numerous group among the employees in the bishop's house were armed servants.In total, there were 26 positions in the structure of the bishop's court and another category of people who received salaries -armed servants.In the 14 years from 1677/78 to 1692/93, the number of bishops people receiving salaries increased from 94 to 102.The most noticeable change was the splitting of the choristers into three steps in 1692/93, as well as the emergence of new positions: a riding cellarer, a sexton, a tablecloth elder, a cup holder (they were occupied by elders); a horse stoker, a silversmith, a blacksmith, a cook, a henchman, a bread maker, a brewer, a carpenter, a groom (they were occupied by secular persons).During this time, the personnel in positions that could only be held by clerics completely changed, and people of secular ranks also changed for the most part.So, of the 15 singers named in 1677/78, only two were mentioned in 1692/93 -Ivan Protopopov (first step) and Ivan Andreev (third step).Of the 15 clerks, only one is mentioned twice -Andrei Grigoriev.More than 400 rubles were spent from the treasury on salaries for bishops in 1677/78 and more than 470 in 1692/93.The involvement of information on the number of employees in other episcopal houses showed that their number varied in different dioceses by tens and sometimes hundreds of people.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.098
Threshold uncertainty score0.194

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.007
Science and technology studies0.0040.004
Scholarly communication0.0060.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.001

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 head0.015
GPT teacher head0.245
Teacher spread0.230 · 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.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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