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Record W4283318326 · doi:10.20339/am.06-22.110

Letters to the authorities as the modus vivendi of the Russian professorship and as a constant of Russian Culture (cross-cutting sociological & historicо-philological view)

2022· article· en· W4283318326 on OpenAlexaboutno aff
Vladimir N. Bazylev

Bibliographic record

VenueAlma mater Vestnik Vysshey Shkoly · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDiscourse Analysis and Cultural Communication
Canadian institutionsnot available
Fundersnot available
KeywordsPhilologyState (computer science)Quarter (Canadian coin)SociologyConstant (computer programming)Government (linguistics)ClassicsHistoryLawMedia studiesPolitical sciencePhilosophyFeminismMathematicsArchaeology

Abstract

fetched live from OpenAlex

The article is devoted to the interdisciplinary study of “letters to the authorities” of the Russian scientific and pedagogical community in the XVIII–XXI centuries. The phenomenon of constant is postulated in the conditions of the two-hundred-year history of the relationship between the Russian government and the Russian scientific and pedagogical community as a consequence of tradition and mentality within the framework of Russian linguoculture. The constant epistolary formats are analyzed — letters to the tsar (XVIII — early XX century), letters to leaders or the head of state (XX — early XXI century), letters to the press, so-called “open letter” (XX — the beginning of the XXI century), letters on the Internet — blogs and posts as a stylistic continuation of the “open letter” (the first quarter of the XXI century).

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.996
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0080.003
Open science0.0000.002
Research integrity0.0010.001
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 head0.047
GPT teacher head0.347
Teacher spread0.300 · 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.

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
Published2022
Admission routes1
Has abstractyes

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