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Record W4414474366 · doi:10.34685/hi.2025.99.64.038

Ежегодные отчёты Алеутской епархии (1880–1911) как источник по истории русского православия в Северной Америке

2025· article· ru· W4414474366 on OpenAlexaboutno aff
А.П. Сенин

Bibliographic record

VenueКультурологический журнал. · 2025
Typearticle
Languageru
FieldSocial Sciences
TopicPsycholinguistics and Behavioral Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBishopsSynodOrthodoxyPeriod (music)Personality

Abstract

fetched live from OpenAlex

Статья исследует ежегодные отчёты правящих архиереев Алеутской епархии 1880–1911 гг. Святейшему Правительствующему Синоду как важнейший источник по истории становления и развития русского православия в США и Канаде. Структурный анализ позволяет оценить информационный потенциал всех основных разделов этих уникальных документов. Выделены сведения, которые дают исчерпывающее представление о жизни самой обширной зарубежной епархии русской православной церкви на рубеже XIX–XX веков. Рассмотрено влияние на форму и содержание отчётов личности правящего архиерея и экстраординарных событий, происходящих в епархии. The article examines the annual reports of the ruling bishops of the Aleutian Diocese (1880–1911) to the Holy Governing Synod as the most important source on the history of the formation and development of Russian Orthodoxy in the USA and Canada. Structural analysis allows us to assess the information potential of all the main sections of these unique documents. The information highlighted provides a comprehensive picture of the life of the largest foreign diocese of the Russian Orthodox Church at the turn of the 19th and 20th centuries. The influence of the personality of the ruling bishop and extraordinary events occurring in the diocese on the form and content of reports is considered.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.005
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0210.005

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 head0.047
GPT teacher head0.426
Teacher spread0.379 · 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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