MétaCan
Menu
Back to cohort

Nouns of Religious Semantics Ending in -tel in the Russian Language of the 18th — the First Quarter of the 19th Century (Based on Lexicographic Works of the Civil Press)

2024· article· en· W4405020903 on OpenAlexaboutno aff

Bibliographic record

VenueReview of Omsk State Pedagogical University Humanitarian research · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDiscourse Analysis and Cultural Communication
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)LinguisticsNounLexicographical orderSemantics (computer science)HistoryComputer sciencePhilosophyMathematicsArchaeologyProgramming language

Abstract

fetched live from OpenAlex

The novelty of the study consists in addressing the consideration of the historical aspect of the issue of the system of names of persons in the Russian language using the example of nouns of religious semantics ending in -tel, registered in domestic dictionaries of the civil press of the 18th — first quarter of the 19th century. In the course of a comprehensive language analysis, it was established that the substantives of religious semantics ending in -tel form a special layer of confessional vocabulary with specific and non-specific meanings, serving as one of the productive means for the embodiment of the Orthodox worldview in the Russian language of the 18th — first quarter of the 19th century. It is shown that the substantives of religious semantics ending in -tel are mostly monosemantic concrete agents formed from infinitive stems of the fifth productive class and denoting, on the one hand, a supernatural being that has, according to Christian ideas, a personal origin, and on the other hand, a person.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.108
GPT teacher head0.399
Teacher spread0.291 · 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 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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueReview of Omsk State Pedagogical University Humanitarian researchSame topicDiscourse Analysis and Cultural CommunicationFrench-language works237,207