MétaCan
Menu
Back to cohort
Record W4394971182 · doi:10.31857/s2949124x2304003x

Patriarch Iov and the Russian bishops of the last quarter of the 16th – early 17th century

2023· article· en· W4394971182 on OpenAlexaboutno aff
Andrey Usachev

Bibliographic record

VenueРоссийская история · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsnot available
Fundersnot available
KeywordsBishopsQuarter (Canadian coin)HistoryAncient historyPolitical scienceArchaeologyLaw

Abstract

fetched live from OpenAlex

The article deals with the internal factors of the Russian episcopate’s formation in the 16th century. It was established that the belonging to the influential church groups had played the most important role till the last quarter of the 16th century. There were three - the monks’ community of the Holy Trinity-St. Sergius monastery, the Kirillo-Belozerskii monastery, the Iosifo-Volockii monastery. The period, when Simon (the monk of the Holy Trinity- St. Sergius monastery) was the metropolitan, was characterized by the increase of the number of the bishops from this monastery (1495-1511). The metropolitan Daniil (1522-1539) who was from the Iosifo-Volockii monastery strengthened the position of this monastery. The metropolitan Makarii (1542-1563) tried to strike a balance between these two groups. The patriarch Iov (1586-1605) didn’t belong to the influential church groups. That’s why their influence on the governing of the Russian church was minimized. The bishops were appointed from about 15 monasteries. It was connected, on the one hand, with the attempt of Iov and his ally the Godunovs to weaken the “aristocratic” monasteries, on another hand - with the death of the last capable representative of the dynasty in 1584. For a long time the dynasty supported these influential monasteries and others.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.530
Threshold uncertainty score0.681

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.015
GPT teacher head0.289
Teacher spread0.274 · 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 designObservational
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

Explore more

Same venueРоссийская историяSame topicHistorical Influence and DiplomacyFrench-language works237,207