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Record W4245557758 · doi:10.26565/2227-6505-2019-28-06

The Kharkiv Governorate Provincial Cities Population (1861-1917)

2019· article· en· W4245557758 on OpenAlexfundno aff

Bibliographic record

VenueV N Karazin Kharkiv National University Bulletin History of Ukraine Ukrainian Studies Historical and Philosophical Sciences · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
FundersUniversity of Alberta
KeywordsPopulationUkrainianGeographyState (computer science)EmpireSocioeconomicsDemographySociologyArchaeology

Abstract

fetched live from OpenAlex

The article deals with the growth and reduction of population in the Kharkiv Governorate provincial cities in 1861-1917, the features of its social, age, national structures according to different types to population size and administrative status. It is stressed that life of small and medium sized Ukrainian cities at late Russian empire is rarely kept under review by professional historians; the books which periodically appear in the intellectual area of modern Ukraine are written by local historians, who are inclined to idealize their local officials and all events in the past. The article is based on the documents from the State Archive of Kharkiv Region, official publications, statistics and the materials from periodical press. It is argues that from 1861 to 1914 occured an intensive growth of the population of provincial towns of Governorate: 1,35 times at the second part of 19 century and 1,5 at the beginning of XX century; sufficient percent reduction in the district and non-district city population within the Governorate, the Kharkiv population ultrafast growth at 1861-1897 and stabilization of the ratio between the population of the Governorate center and provincial cities. It is emphasizes that if at 1861 there was only small and smallest towns in region, then were appeared five average population cities and only three of the smallest cities remained at the beginning of the 20th century; the provincial cities population structure was closer to the rural population structure and the percentage of intellectuals, city-dwellers employed in trade, financial or industrial spheres, people of the most working age was significant less than in Kharkiv; the male domination wasnʼt significant in provincial towns, but the ethnic composition of the provincial cities differed significantly from that of the Governorate center. The First World War influenced the reduction by 18% the provincial cities population, varied the employment structure of the urban dwellers and caused a significant weakening of the urban elite.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.052
GPT teacher head0.259
Teacher spread0.207 · 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; both teacher heads agree on what is shown here.

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
Published2019
Admission routes1
Has abstractyes

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