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Record W4387184939 · doi:10.15826/qr.2023.3.823

Methods of the “New Division of the Empire”: The Reforms of Administrative Division in Vyatka Rеgion from Catherine the Great to Paul I

2023· article· en· W4387184939 on OpenAlexaboutno aff
Dmitry Khitrov

Bibliographic record

VenueQuaestio Rossica · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsEmpireAdministrative divisionRedistribution (election)PopulationDivision of labourQuarter (Canadian coin)Division (mathematics)Economic historyGeographyPolitical scienceEconomic geographyHistorySociologyLawArchaeologyDemography

Abstract

fetched live from OpenAlex

This article examines the territorial transformations carried out in Vyatka Region in the 1780s–1810s. As is known, before the last quarter of the eighteenth century, the system of administrative-territorial division of the country was based on the historically established system of uyezds. However, in 1775–1802, two major reforms were carried out, which rebuilt the administrative-territorial division following qualitatively new principles – approximate equality of the population of provinces and uyezds and transport accessibility of administrative centres for the population. These changes largely determined the outlines of the social structure of the Russian Empire over the next century, and changes in the management system and social structure naturally attract researchers’ attention today. With the help of a detailed reconstruction (based on maps of the time, both printed, from national atlases of 1792 and 1800, and handprinted, from the collections of several archives) and comparison of the boundaries of provinces in the middle of the eighteenth century, in 1792, in 1792, 1800 and 1805–1806, the author reveals the redistribution of territories between urban centres. It transpires that the system of territorial relations in this region during the reform of Catherine II changed more decisively than in the central regions of the country, and the new borders were initially drawn without a survey of the situation on the ground, in some cases – in the form of straight lines on the map. The correction of inconveniences caused by such a manner of reform was delayed and was completed already during the administrative reforms of Paul I, which, unlike most regions, were not cancelled there in the first decade of the nineteenth century.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.012
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0030.015
Scholarly communication0.0040.005
Open science0.0010.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.094
GPT teacher head0.419
Teacher spread0.326 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2023
Admission routes1
Has abstractyes

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