On the Economic Characteristics of the Vysokoe Estate of Count A.D. Sheremetev in the Late 19th – Early 20th Century
Bibliographic record
Abstract
The article explores the economic aspects of the Vysokoe estate, located in the Sychevsky district of the Smolensk province, at the turn of the 19th and 20th centuries. Drawing on archival records, official reports, and periodical publications, it demonstrates that the wealthy landowner Count A.D. Sheremetev carried out extensive construction projects on the estate. A proponent of technological innovation, he commissioned the installation of electricity and a telephone line, improved the water supply system, and established a post and telegraph office. In memory of his mother, for whom Vysokoe was a cherished place, the count also funded and maintained a charitable almshouse with a hospital and pharmacy, a church and parish school, two libraries, and a private fire brigade. Vysokoe was considered a model estate in terms of agricultural management. It featured breeding facilities for pedigree cattle and pigs, a 12-field crop rotation system, proper forestry practices. A large garden and vegetable garden were established, an orangery was operated, the fruits and vegetables grown were used not only for personal consumption but also for sale. Despite the significant income generated by the Vysokoye estate, it did not cover the expenses for charitable institutions and the maintenance of the estate's staff. Count A.D. Sheremetev could afford to operate such a "non-profitable" estate and he was actively engaged in philanthropy. He earned the profits from securities and the construction of rental housing on his urban properties.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".