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Record W4312101738 · doi:10.58187/rim.131-132.08

Romanian cultural heritage in the area of interests of the Bessarabian slavist Polychronie Sârcu (1855-1905)

2022· article· en· W4312101738 on OpenAlexaff
Eşanu Andrei, Valentina Eşanu

Bibliographic record

VenueRevista de istorie a Moldovei · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicBalkans: History, Politics, Society
Canadian institutionsAlberta University of the Arts
Fundersnot available
KeywordsRomanianSlavic languagesBulgarianPhilologyClassicsCultural heritageHistoryPolitical scienceSociologyAncient historyArchaeologyGender studiesPhilosophyLinguistics

Abstract

fetched live from OpenAlex

The article attempts to prove that, besides the numerous studies about the South Slavic history of culture and literature, Polychronie Sârcu paid a special attention towards the spiritual legacy of the Romanian Bessarabians and particularly towards the history of the Căpriana Monastery, where he received his primary schooling. His works on the history of Russian-Romanian cultural relations, the role of Romanians as a link between the Orthodox peoples of the Balkans and the Eastern Slavic world were highly appreciated. He presented this role of Romanian culture in a special course at the Faculty of History and Philology of St. Petersburg University. Simultaneously with the study of the old Bulgarian literature, he also paid attention to the Romanian medieval manuscript heritage. Some of these codices and documents were published by P. Sârcu or included in his collection of manuscripts. The materials he accumulated in the Romanian lands are described in the present article. Such scientific interests fully justify the opinion of the authors, who equally appreciate Polihronie Sârcu not only as a Slavist, but also as a Romanian scholar.

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)0.001
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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.029
GPT teacher head0.299
Teacher spread0.270 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueRevista de istorie a MoldoveiSame topicBalkans: History, Politics, SocietyFrench-language works237,207