COMPETITION IN THE FATE OF A PROVINCIAL MERCHANT: TOUCHES TO THE PORTRAIT OF VASSILY POPOV FROM ARKHANGELSK, 1767–1847
Bibliographic record
Abstract
The article studies the activity of the Arkhangelsk merchant of the first guild Vassily Alekseevich Popov in the first two decades of the 19th century. It clarifies the reasons for the rise and fall of his trading house, which failed to withstand the fierce competition with foreign merchants. The author chose V. A. Popov as an object of study because, firstly, he was one of the largest and most enter-prising among the native merchants of Arkhangelsk of this period, and, secondly, he was able to analyze and generalize his commercial experience, proposing to the government measures aimed at the revival and support of the domestic merchants. His economic reflections embodied a number of typical features of the development of the foreign trade in Russia at the end of the 18th — the first quarter of the 19th century, which influenced the careers of domestic entrepreneurs, namely: the instability of the foreign policy and economic course of the Russian government; conducting trade mainly at their own expense, in contrast to foreign merchants who actively used income from com-mission trade; extreme dependence on patrons among supreme and local officials.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".