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Record W2994980225 · doi:10.15407/ingedu2019.52.138

Migration of Ukrainians at the pre-industrial stage of social development

2019· article· en· W2994980225 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueÌstorìâ narodnogo gospodarstva ta ekonomìčnoï dumki Ukraïni · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsUkrainianEmigrationPopulationSocioeconomic statusGeographyPolitical scienceHuman migrationEconomic growthDevelopment economicsDemographic economicsSociologyDemographyEconomics

Abstract

fetched live from OpenAlex

The subject of the research is the migration history of Ukrainians at the pre-industrial stage of social development. The purpose of the article is the historical and economic analysis of migration trends and the identification of geographical vectors of the first migration flows on Ukrainian lands and the institutional factors and socioeconomic consequences of the spread of migration sentiment among the population during the period. The result of the study is the identification of features of the first migration flows in the Ukrainian territory, the classification of migration according to its causes, the identification of directions of the resettlement of Ukrainians and the consequences of emigration of Ukrainians. It was revealed that the labour migration of Ukrainians was preceded by political migration related to the regular attacks of Tatars and Turks, the fall of Kievan Rus, the loss of national statehood, the colonization of Ukrainian lands by foreign states. In spite of a number of negative consequences, the Ukrainian people received both economic benefits and qualitative progress in state-building. At the same time, labour migration led to the irreversible loss of the economically active working population, above all the peasantry, who were the most important group among Ukrainian emigrants. The main factors contributing to the labour migration of Ukrainians were similar: institutional (abolition of serfdom), demographic (reduction of mortality rate, while maintaining high fertility), socio-economic (low-income Ukrainian peasants, mass impoverishment and low standards of living), innovative infrastructure (development of the newest means of communication and large geographical discoveries) that encouraged intercountry resettlement. However, the vector of migratory flows of Ukrainians was rather diverse: Ukrainians under Austro-Hungary (Galicia, Northern Bukovina and Transcarpathian Ukraine) were covered by intercontinental migration (USA, Canada, Brazil and Argentina), while the peasants of the Left Bank and Central Ukraine migrated to the Northern Caucasus and the Far East.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.040
GPT teacher head0.228
Teacher spread0.188 · 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