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Formation of the Orthodox Content of Education in the Last Quarter of the XVII Century: Special Educational Literature

2023· article· en· W4400523984 on OpenAlexaboutno aff
Olga Kosheleva

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Practices and Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Content (measure theory)Computer scienceMathematics educationHistoryPsychologyMathematicsArchaeology

Abstract

fetched live from OpenAlex

e aim of the article is to grasp the mental division of mind of Russian intellectuals in solving the problem of organizing Orthodox school education. e organized schooling was largely absent in Muscovy and the practice of studying with a private teacher substituted for schools. e idea to create Orthodox schools, di erent from Latin ones of Western Europe, was set forth in the last quarter of the XVII century and led to the compilation of several handwritten teachers' collections, the compilers of which sought to present in them the content of school Orthodox education. at gives the ground for comparison between two of them: ABC for kids by Evfimy from Chudov monastery and School ABC by Prokhor Kolomniatin. Conclusions: two di erent compilers, who used di erent texts, show similar thematic composition in constructing a school curriculum. It includes: 1. Grammar as a main section; 2. Explanation the necessity of study and the meaning of “Wisdom”; 3. Norms of the pupils' conduct; 4. Instructions on piety as well as threats for ignoring them; 5. Catechisms and the texts of prayers; 6. Instructions for teachers. e two authorcompilers nearly exhausted the possibilities of the Muscovite repertoire of texts, which could be used for children's education. However, they added some new translations as well as their own compositions.

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 score0.006
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.008
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.355
Teacher spread0.299 · 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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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