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Record W3013381281 · doi:10.31648/pw.3603

Educational and cultural connections of Vilno with educational establishments of Right-Bank Ukraine in the first quarter of the 19th century

2018· article· en· W3013381281 on OpenAlexaboutno aff
Elena Prishchepa

Bibliographic record

VenuePrzegląd Wschodnioeuropejski · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Cultural Studies of Poland
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianLithuanianCommonwealthQuarter (Canadian coin)GentryPopulationSlavic languagesHuman settlementPeriod (music)Political scienceEconomic growthEconomyGeographySociologyHistoryLawArchaeologyDemography

Abstract

fetched live from OpenAlex

The article analyzes educational and cultural connections of Vilno with educational establishments of Right-Bank Ukraine in the first quarter of the 19th century and includes the study of the external factors’ influence on the formation of town cultural environment in Ukrainian provinces within the Russian empire in the period when Lithuanian, Belorussian and Ukrainian territories of the former Rzeczpospolita (Polish-Lithuanian Commonwealth) were the part of Vilno educational district. The article states that educational establishments controlled by Vilno University took the most important part in the processes of interaction and communication of towns’ population in that period. In this connection the article considers official transfers of teaching staff within Belorussian and Ukrainian territories. School teachers were mostly representatives of land-poor gentry and promoted both the expansion of school activity sphere and spiritual communication in towns and settlements of Right-Bank Ukraine provinces in general. The article also pays attention and stresses the movement of printed matter and certain cultural values from Vilno to the educational establishments of Right-Bank Ukraine. The article makes a conclusion that Polish culture dominated in towns’ cultural space.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.719
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.221
Teacher spread0.207 · 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.

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
Published2018
Admission routes1
Has abstractyes

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