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KRYASHENS OF UDMURT PRIKAMYE REGION IN THE LAST THIRD OF THE XVIII - MIDDLE XIX CENTURY

2019· article· en· W2996127204 on OpenAlexaboutno aff
Nikolai Viktorovich Pislegin, Vladimir Sergeevich Churakov

Bibliographic record

VenueYearbook of Finno-Ugric Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCultural, Linguistic, Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHuman settlementQuarter (Canadian coin)GeographyEthnic groupAncient historyMiddle classEthnologyPeriod (music)HistoryArchaeologyPolitical scienceLawArt

Abstract

fetched live from OpenAlex

The article comes to view the development of Kryashens, which are connected with Udmurts or with the territory of the modern Udmurt Republic, in the last third of the 18th - middle 19th century. The area in question is the Malmyzh and Elabuga counties of Vyaka province and Mamadysh county of Kazan province. The “Udmurt old-christened” ethno-class status of the inhabitants of the settlements of the Srednekushket volost’ of the Malmyzh county, noted by the sources, was to some extent a “tribute to tradition”. In Mamadysh county in 1834 historically associated with the Udmurts Kryashen settlements were located in 3 volosts; the tendency for their assimilation, which was reflected in the middle of the 18th century, was completed here even earlier, in the first third of the 19th century. In Yelabuga county since its formation there was a old-christened small administrative-territorial unit. In the historical settlements of Kryashens, located in our days in the territory of the Udmurt Republic (Grakhov and Kizner districts), their Udmurt origin, with few exceptions, is not traced. The appearance of this sub-ethnic group of Tatars here was mainly due to migration processes from the nearest southern territory. In this period the norm for the Kryashens was shared with other peoples - Tatars, Mari, Udmurts, and later - Russians. The presence of Russians in historical Kryashen villages steadily increased over time. From the late 18th century the Kryashen volosts often included villages with different ethnic-caste identity. From the second quarter of the 19th century the disappearance of the Kryashen small administrative-territorial units began. It was caused, first of all, by transformations of the state in this sphere.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.142
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.069
GPT teacher head0.299
Teacher spread0.230 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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