Orthodoxy in the perspective of the formation of compliance with legal, journalistic, scientific-historical and artistic social subcultures in the second quarter of the 19th century (according to National Corpus Of The Russian Language)
Bibliographic record
Abstract
The second quarter of the XIX century became the era of the reign of Nicholas the First, when the number of texts with the lexeme “Orthodoxy,” according to the materials of the linguistic academic resource “National Corpus of the Russian Language,” exceeded their volume for the entire XVIII century. We can say about continuation of the formation of an academic tradition of objective description of confessional, ethnic, ethno-confessional and religious communities in a multi-confessional country of the Enlightenment, combined with the formation of the so-called “protective” direction in politics. In search of compensation (consent) between the court, legal, journalistic, church and scientific elites, new denotations and connotations are formed (for example, “Orthodoxy of the Greek-Russian Church”, “Christian Orthodox Catholic Faith of the Eastern Confession”, etc. in the texts of laws), a romantic understanding of “Orthodoxy” is developing as “the unanimity of the people” (I.V. Kireevsky), normative requirements for the work of writers called upon to create literary works “in the spirit of autocracy, Orthodoxy and nationality” are being constructed (N.A. Polevoy). Along with this, the importance of “inner Christian life” is recognized (V.A. Zhukovsky). The article sets out the position of social philosophy with an orientation towards the approaches of modern philosophical religious studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.035 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".