Peter I as a Reformer in the Public Discourse of the First Quarter of the 18th Century
Bibliographic record
Abstract
Статья посвящена изучению процесса формирования образа Петра I как реформатора в публичном дискурсе периода его правления. Акцент сделан на языковой инструментарий, с помощью которого авторы конструировали образ Петра-реформатора. Основными источниками для работы стали панегирические сочинения и торжественные проповеди, преамбулы к законодательным актам и историческое сочинение «Гистория Свейской войны». Рассмотрены риторические приемы, исторические персонажи и ситуации, с которыми сравнивался Петр-реформатор. Процесс формирования образа соотнесен с историческим контекстом петровской эпохи. На основе проанализированного материала сделаны выводы об особенностях сформированного к моменту смерти Петра образа, а также о его положении в рамках петровской идеологии.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".