Bibliographic record
Abstract
Thе present publication is the first in historiography to highlight the unknown pages from the biography of Maria Andreevna Kantakuzino, wife of Foma (Toma) Kantakuzino, Major General of the Russian Army, an associate of Peter the Great. The research is based on documents discovered by the author in the State archives of the Russian Federation. The hallmark of this article is the fact, that the biographical data of Maria Cantacuzino are disclosed in the context of the political events of the 1st quarter of the 18th century, as well as her personal ties and correspondence with statesmen of the Russian Empire, the author reflects the issue of the financial situation of the countess in Russia. At the same time, the publication sheds light on the previously unknown biographical data of Maria Cantacuzino – the time and conditions of her arrival in Russia, the place of residence, as well as the date of her death. This publication, on the basis of archival documents discovered and introduced into scientific circulation, makes it possible to show the property status and possessions of the Cantacuzino family in Russia in the first half of the 18th century, as well as their fate after the death of the owners.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".