MétaCan
Menu
Back to cohort
Record W3203343055 · doi:10.36906/2311-4444/21-3/09

The trends in the formation of the elite of the merchant class of tobolsk province (the last quarter of the XVIII – first quarter of the XIX centuries)

2021· article· en· W3203343055 on OpenAlexaboutno aff
Olga A. Zadorozhnyaya

Bibliographic record

VenueBulletin of Nizhnevartovsk State University · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)EliteSocial classSubject (documents)HistoryGenealogyGeographyEconomic historyPolitical scienceLawArchaeologyLibrary science

Abstract

fetched live from OpenAlex

Merchants as the main subject of the business world of the Russian state in the last quarter of the 18th first part of the 19th centuries. was distinguished by ambiguity: on the one hand, its social status corresponded to national legislation, on the other hand, it was distinguished by regional characteristics. The subject of the research is the social gradation and the identification of the leading group of the merchant class of the Tobolsk province in the last quarter of the 18th first part of the 19th centuries: determining the principles of its separation and existence. The purpose of the article is to highlight the features of the group of hereditary merchants as the leading sub-class of the Tobolsk province (last quarter of the 18th first quarter of the 19th centuries) Methods. In preparing this work, we developed a research algorithm, which consisted in determining the total number of the merchant class of the Tobolsk province (610 separate surnames), which were divided using the historical-comparative method and the modeling method into separate social subgroups. Results: the research illustrates the heterogeneity of the guild merchants of the cities of the Tobolsk province in the last quarter of the 18th first part of the 19th centuries. as a participant in the business world of Western Siberia. Conclusions: There is traced the dependence of the social status of the merchant not so much on the size of the capital, but on the length of stay in the hereditary merchant. The Siberian merchant was distinguished in many ways by his isolation and practicality during his stay in the guild organization. At the same time, representatives of the leading sub-class preferred transit trade on the border with China or at all-Russian fairs. In this case, the merchant must be known both in his hometown and abroad for his commercial and social activities. Considering that the capital belonged to a merchant family, therefore, its members were distributed among various fields of activity. Thus, the trading class of the Tobolsk province had many common features, but due to internal gradation it was distinguished by fluidity, a clear division of responsibilities, and capital differentiation. Hereditary merchants represented a separate social subgroup, in which the title of merchant ... was preferred to everything in the world.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.482
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.207
Teacher spread0.197 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of Nizhnevartovsk State UniversitySame topicRegional Socio-Economic Development TrendsFrench-language works237,207