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Record W7125477014 · doi:10.7868/s3034579025020315

From America to the All-Russian Local Council of 1917-1918 and back: the diaries of Archpriest Leonid Turkevich

2025· article· en· W7125477014 on OpenAlexaboutno aff
Y. Biriukova

Bibliographic record

VenueРоссийская история / Rossiiskaia istoriia · 2025
Typearticle
Languageen
FieldComputer Science
TopicLibrary Science and Information
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirPeriod (music)Metropolitan areaHistorical recordResearch council

Abstract

fetched live from OpenAlex

The article is devoted to the topic of scientific publication of memoirs of the participants of the All-Russian Local Council of 1917-1918. The publication of the diaries and notebooks of Archpriest Leonid Turkevich, the future Metropolitan of All America and Canada Leontius, the First Hierarch of the North American Metropolis in 1950-1965, the originals of which are kept in the Library of Congress, is considered. The diaries reflect the dramatic period of 1917-1918, when, as rector of St. Nicholas Cathedral in New York City, Archpriest Leonid participated in the work of the 1917-1918 Council as a representative of the North American Diocese-Mission. Archpriest Leonid kept records of the discussions and various messages of the participants of the Council, noted interesting details of behind-the-scenes discussions, and left us his impressions of Russia, which appeared as if in a new light after a long stay abroad. The publishers of these sources are candidate of theology, priest Evgeny Ageyev and candidate of historical sciences A.I. Mramornov.

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)0.002
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: none
Teacher disagreement score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0090.003
Scholarly communication0.0030.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.018
GPT teacher head0.224
Teacher spread0.206 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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