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On a Little-Known Slavic-Moldavian Copy of the Old Russian “Parables of Wives”

2021· article· en· W4205401805 on OpenAlexaboutno aff
Aleksandr D. Paskal

Bibliographic record

VenueTexts and History Journal of Philological Historical and Cultural Texts and History Studies · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicLinguistics and language evolution
Canadian institutionsnot available
Fundersnot available
KeywordsSlavic languagesRedactionLiteratureHistoryOrder (exchange)Quarter (Canadian coin)State (computer science)ClassicsArtComputer scienceArchaeology

Abstract

fetched live from OpenAlex

The article presents a textual analysis and a publication of a little-known copy of the anonymous Old Russian text “Parables of Wives” (“Pritchi o zhenakh”), found in a handwritten Slavic Horologion with additional articles in the Russian State Library (Fond 209, No. 201). The manuscript is of Moldavian origin and dates back to the first quarter of the 16th century. It is established that literary sources of the entries that constitute the “Parables of Wives” are mainly didactic statements from the florilegia The Bee (Pchela, Melissa) and Menander. The discovered text is a special compiled redaction of the “Parables”. The author did not simply select individual entries from those florilegia but also changed the order in which the aphorisms appear compared to their position in The Bee and Menander. At the same time, he partly edited their content. Most likely, the Moldavian copyist had a corrupted copy of the “Parables of Wives” in front of him, which he could not copy correctly, thus preserving its erroneous readings in his copy

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)0.000
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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.064
GPT teacher head0.253
Teacher spread0.189 · 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
Published2021
Admission routes1
Has abstractyes

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Same venueTexts and History Journal of Philological Historical and Cultural Texts and History StudiesSame topicLinguistics and language evolutionFrench-language works237,207