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«Прежде по Вашей милости я жил спокойно. Как быть? Рассудите, Ваше Светлейшество». Начало внутриполитического кризиса в Калмыцком ханстве в 1723 г.

2022· article· en· W4306854606 on OpenAlexaboutno aff
Vladimir T. Tepkeev

Bibliographic record

VenueORIENTAL STUDIES · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Spain
Canadian institutionsnot available
Fundersnot available
KeywordsEmperorNegotiationQuarter (Canadian coin)HistoryClassicsAncient historyLiteraturePolitical scienceLawArtArchaeology

Abstract

fetched live from OpenAlex

Introduction. The article publishes one of the last letters submitted by Khan Ayuka of the Kalmyks to the Russian Emperor Peter the Great. Goals. The work aims at introducing newly discovered correspondence dealing with Russian-Kalmyk relations in the first quarter of the 18th century. Materials. The document analyzed is contained in Collection 119 (‘Kalmyk Affairs’) of Imperial Russia’s Foreign Policy Archive that houses quite a number of written sources in Kalmyk history. The never-published document is the first Kalmyk letter from the mentioned archive to be made available to the public. Results. The paper provides a brief historical review of the events described in Khan Ayuka’s letter. The most precious document sheds light on multiple circumstances to have preceded the outburst of the internal Kalmyk conflict in 1723. Conclusions. The examined 1724 letter is an invaluable source in the history of Kalmyk Khanate that shall essentially add to further understanding of 18th-century Russian-Kalmyk relations. So, the text clarifies Khan Ayuka’s stance on the emerging internal crisis. Having been one of those who wrecked the negotiation process between Chakdorjab’s sons, Ayuka turns to the Russian Emperor for assistance in his letter. The domestic conflict not only significantly weakened his positions as Khan but also resulted in external threats to Kalmyk Khanate at large.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.017
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.010
Scholarly communication0.0090.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0170.005

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 head0.084
GPT teacher head0.258
Teacher spread0.174 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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Same venueORIENTAL STUDIESSame topicHistorical Studies on SpainFrench-language works237,207