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FOREIGNERS IN THE RUSSIAN RULING ELITE IN THE PERIODS OF RULING OF PETER THE GREAT AND ANNA IOANNOVNA. COMPARATIVE ANALYSIS

2019· article· en· W2985766290 on OpenAlexaboutno aff
O. D. Stolyarov

Bibliographic record

VenueVestnik of Samara University History pedagogics philology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsnot available
Fundersnot available
KeywordsEliteReignPoliticsQuarter (Canadian coin)Identity (music)Political scienceRuling classEconomic historyHistoryLawPhilosophy

Abstract

fetched live from OpenAlex

The article deals with the groups of foreigners who were members of the Russian ruling elite under Peter the Great and Anna Ioannovna. Foreigners are persons of foreign origin, either born outside Russia or within the country, but in families that have retained their identity. The ruling elite is defined as a group of individuals whose formal and informal status allowed them to influence political decision-making. The article presents a comparative analysis of the groups of foreigners who were members of the Russian ruling elite under Peter the Great and Anna Ioannovna on a number of parameters the number, degree of influence, the degree of integration into Russian society, etc. The reasons for which in some respects the position of foreigners in the ruling group was the same in both periods under study, and in others radically different are analyzed. It is concluded that the number of foreigners in the ruling elite in the second quarter of the eighteenth century slowly but steadily increased, particularly in the 1730-ies. This was due mainly to the reasons for the opportunistic nature, primarily due to the fact that in the Annin reign the Russian ruling elite was replenished with representatives of the Courland entourage of the Empress. Also, with a number of reservations, it is concluded that in the circumstances of the rise of foreigners under Anna Ivanovna, favoritism played a greater role than in the reign of Peter the Great, and the degree of integration of these foreigners into Russian society decreased.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.655

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 studies0.0000.002
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 head0.081
GPT teacher head0.327
Teacher spread0.246 · 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 designQualitative
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
Published2019
Admission routes1
Has abstractyes

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