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Record W7156085668 · doi:10.35332/2411-4677.2025.25.25

TEN LETTERS FROM PROFESSOR LEONID BILETSKY TO METROPOLITAN HILARION (OHIENKO)

2025· article· W7156085668 on OpenAlexaboutno aff
Yurii Mytsyk, Інна Тарасенко

Bibliographic record

VenuePROCEEDINGS OF KYIV THEOLOGICAL ACADEMY · 2025
Typearticle
Language
FieldSocial Sciences
TopicMilitary, Security, and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianMetropolitan areaState (computer science)Punitive damages

Abstract

fetched live from OpenAlex

The article examines part of Metropolitan Hilarion (Ohienko)’s correspondence with the renowned Ukrainian philologist Leonid Biletsky in the 1920s. These letters, discovered in the archives of the Consistory of the Ukrainian Orthodox Church in Canada (Winnipeg). This allows us to partially fill the gap in the source base of Ohienko studies, since the metropolitan’s archive was destroyed twice, in 1920 and 1944. These letters shed light on Ohienko’s ties, while he was still Minister of Confessions of the Ukrainian People’s Republic, with an outstanding scholar and lecturer at the Ukrainian State University in Kamianets-Podilskyi, the first university of the Ukrainian People’s Republic. These letters provide a more complete picture of I. Ohienko’s activities as Minister of Education and Confessions of the Ukrainian People’s Republic, the difficult conditions of his life in exile, as was the case for all those who fled from the Bolshevik punitive authorities, his religiosity, and his desire to translate the Holy Scriptures into Ukrainian.

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)0.004
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0340.007

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 head0.035
GPT teacher head0.336
Teacher spread0.302 · 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
GenreOther

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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