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Record W3141017201 · doi:10.35219/across.2020.3.1.18

Vocabulary of the Orthodox Church in Intercultural Communication

2025· article· en· W3141017201 on OpenAlexaboutno aff
Tetyana Shyliaeva

Bibliographic record

VenueACROSS Journal of Interdisciplinary Cross-border Studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMedia, Religion, Digital Communication
Canadian institutionsnot available
Fundersnot available
KeywordsVocabularyIntercultural communicationLinguisticsSociologyPsychologyArtPhilosophyCommunication

Abstract

fetched live from OpenAlex

This article focuses on intercultural communication in the religious context. It studies the ways of rendering the vocabulary of Russian and Ukrainian Orthodox Churches in the English-language intercultural communication. We have investigated the use of Orthodox vocabulary on the English-language websites of Orthodox churches of Romania, Greece, the USA and Canada, as well as on Facebook. The peculiarities of translating xenonyms in the process of borrowing some orthodox terms are described. Searching for an adequate translation of this vocabulary layer is sometimes quite complicated because there are no universal reference books and many of the orthodox terms are not registered in dictionaries. The investigation singles out a direct borrowing (transcription or transliteration), loan translation and the use of the “complex of parallel attachment” (the term suggested by V. Kabakchi) as the most productive ways.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.003
Research integrity0.0000.001
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 head0.043
GPT teacher head0.465
Teacher spread0.422 · 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 designQualitative
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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