Correspondence of F.V. Bulgarin and K.F. Kalaydovich
Bibliographic record
Abstract
For the first time, the correspondence of the writer, journalist, publisher Faddey Bulgarin with the historian and archeographer Konstantin Kalaidovich is published in full. The article introduces into scientific circulation their letters for 1822–1824, mainly devoted to the materials of the historical St. Petersburg journal “Northern Archive,” the publication of which was undertaken by F.V. Bulgarin. K.F. Kalaidovich, who lived in Moscow, was an experienced employee of the Archive of the Collegium of Foreign Affairs and the chief superintendent of the Commission for the Printing of State Letters and Treaties. He helped the journal with the communication of valuable documents on the history of medieval Rus’ and the Moscow kingdom of the 15th–17th Centuries, having prepared more than 10 publications for the “Northern Archive” in five years. Kalaidovich also acted as an intermediary between Bulgarin and his fellow historians, members of the “circle” of a patron of art, fascinated by national history, Count N.P. Rumyantsev. The publication touches upon the issues of organizing historical research, the controversy around the “History of the Russian State” by N.M. Karamzin, journal policy in Russia in the 1st quarter of the 19th century, and payment for journal publications.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.149 | 0.072 |
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".