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Record W4386203269 · doi:10.31518/2618-9100-2023-4-9

State Policy to Create a New Migration Model in the Russian Empire in the Second Half of the 19th – Early 20th Centuries

2023· article· en· W4386203269 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.

fundA Canadian funder is recorded on the work.
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

VenueHistorical Courier · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
FundersRussian Science FoundationQueen's UniversityMcGill University
KeywordsPeasantSerfdomEmpireState (computer science)Political scienceDebtEconomyGeographyEconomic historyEconomicsLawFinance

Abstract

fetched live from OpenAlex

The article analyzes the main components of migration policy implemented in the Russian Empire in the second half of the 19 th -early 20 th centuries.Within the framework of the concept of three stages of the migration process the authors characterize the migration model that developed during the period under study, which implied planning (development of the main directions of state migration policy); organization of the movement of labor resources (creation of appropriate management and administrative structures); consolidation and adaptation of migrants (providing benefits to migrants, debt forgiveness, loans for the initial settlement).Before the peasant reform, the main task of the government, which defended in its domestic policy the interests of, primarily, the landowning nobility, was the retention of peasants in the landed estates through the system of serfdom.Under these conditions, internal migration developed poorly and the vast peripheral territories that entered the Russian Empire in the seventeenth and nineteenth centuries were developed and populated very slowly.The main sources of settlement in the new lands were: 1) "free migration", consisting of runaway serfs, former soldiers and representatives of free estates, such as merchants, Cossacks, etc.; 2) peasant migration, which implied the resettlement to new lands of state peasants, who were forced to do so on a mandatory basis by the state authorities.But these sources, given the vastness of the developed territories, were clearly insufficient.The development of a new migration model was due to a change of vector in the socioeconomic development of the country.Its difference from the previous model was the emergence of the labor market and, accordingly, an increase in migration flows to the outskirts in the context of a shortage of agricultural land and the relative overpopulation of villages in the old agrarian areas.In the emerging new system of socio-economic relations, the state, interested in the rapid development of the peripheral territories, had to regulate the movement of migration flows, setting

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)0.001
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 score0.613
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.300
Teacher spread0.260 · 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