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GYPSY POPULATION OF THE MIDDLE URALS IN THE LATE 18TH – EARLY 20TH CENTURIES

2020· article· ru· W4244617044 on OpenAlexaboutno aff
A. V. Chernykh

Bibliographic record

VenueВестник Пермского университета История · 2020
Typearticle
Languageru
FieldHealth Professions
TopicRomani and Gypsy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationQuarter (Canadian coin)Period (music)Ethnic groupEthnologyGeographyHistoryAncient historyDemographyArchaeologyPolitical scienceSociologyArtLaw

Abstract

fetched live from OpenAlex

Based on the materials of the central and regional archives, the article describes the peculiarities of the formation of the Gypsy community in the Middle Urals. The migration of the Gypsy population in different historical periods, the character of their presence in the region and the features of their interaction with the authorities are traced. The source database is characterized, and poor documentation of the history of Gypsies is marked. It is noted that the period of the 19 th – early 20 th centuries was the time of the formation of the Gypsy population in the region. In the 18 th and early 19 th centuries, Gypsy camps appeared in the region only occasionally, but, starting from the second quarter of the 19 th century, their presence became permanent, their population and exploited territory grew. The basis of the Gypsy population of that period was the camps of the ethnic group of Russian gypsies. Only in the early 20 th century, did representatives of the so-called "foreign gypsies" appear in the region. They were mostly from Calderash or Lovari. The main feature of the formation of the ethnic minority of Russian Gypsies was migration from two regions – the European part of the country and Siberia. In adjacent Siberian provinces, Gypsy communities had been formed a bit earlier and were larger. The archival materials highlight the peculiarities of state policy in different regions aimed at the resettlement of nomadic camps and the limitation of the Gypsy mobility in the 19 th and early 20 th century. But this did not bring the expected effect and did not lead to the resettlement of nomadic camps during that period. In the second half of the 19 th – early 20 th centuries, Gypsies became an organic part of the Perm community: performances of Gypsies on Perm ships, Gypsy choirs in the governorate centre and towns, Gypsy sellers on fairs and markets became commonplace in the life of Russian provinces.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.141
GPT teacher head0.365
Teacher spread0.224 · 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 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
Published2020
Admission routes1
Has abstractyes

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