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Record W1562107953 · doi:10.5539/ass.v11n14p88

Dynamics of Resettlement of the Population in the Area of the Semirechensk Territory in the Beginning of XIX – XX Century

2015· article· en· W1562107953 on OpenAlexvenueno aff
Fialka Nuruevna Miymanbaeva, Ainura Talgatovna Suinova, Zhanar Kozhabekova, Aigerim Pernebekovna Akynova, Perizat Nurlybekovna Nuskabai

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicRegional Socio-Economic Development Trends
Canadian institutionsnot available
Fundersnot available
KeywordsHuman settlementImmigrationPopulationPer capitaAdministration (probate law)Government (linguistics)GeographyPolitical scienceEconomic historyColonialismAgricultureEconomyEconomic growthHistoryArchaeologyDemographySociologyLawEconomics

Abstract

fetched live from OpenAlex

The aim of this article is to reveal the stages of migration movement of Russian peasants in Turkestan,particularlyto the area of Semirechensk from the European Russia: from the West Siberian provinces, Tomsk,Tobolsk, Akmola, Semipalatinsk and other regions. The article reveals the activities of the government and theState Council of Russia on the organization of resettlement within the Semirechensk region: reorganization andassociation of the Resettlement Department to the General Administration of Lands and Agriculture, the creationof a special party for the formation of temporary resettlement sites in the Semirechensk area; causes for registerthe resettlement sites. It is pointed out that since the beginning of the XX century, the huge rate of migration hasbeen observed in the Semirechie, so by the end of 1911,15,963 immigrant families have arrived here, for a totalof about 100,000 persons of both sexes. The data are provided on how many land sites have been prepared forthe immigrated peasants, of which square they were, the quantity of land sites per capita, information about theeducated Russian settlements and settlers in the Semirechie in the beginning of XX century, according to theannual report data of the military governors in the Semirechensk region from 1906 to 1915. It is concluded thatafter the October Revolution, the new Soviet government did not pay much attention to the Russian peasants,and in this area the old colonial policy would have been continued.

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)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.311
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.040
GPT teacher head0.316
Teacher spread0.277 · 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 designObservational
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
Published2015
Admission routes1
Has abstractyes

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