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Record W349913240

Генерального штаба генерал-майор М. Е. Солнышкин: от храбого Терского казака и «Мятежника-корниловца» к добросовестному служаке в провинциальных штабах Красной армии. 1914-1924 гг.

2014· article· ru· W349913240 on OpenAlexaboutno aff
Каминский Валерий Владимирович

Bibliographic record

VenueНовейшая история России · 2014
Typearticle
Languageru
FieldSocial Sciences
TopicSocial and Behavioral Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFront (military)Military serviceMutinyQuarter (Canadian coin)Ancient historyHistoryLawPolitical scienceEconomic historyEngineeringArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Generation of Russian citizens, to whom happened to live in the first quarter of the last century, had a chance to experience the serious social upheaval from World War I to crush all the old European order to the deep inner “Troubles”, poured out in a fratricidal Civil War (1917-1920). People just worn on the shoulders of officers’ epaulettes, had to contemplate not only the whole social cataclysm, but also actively participate in it. Our article is devoted to a biography of the Terek Cossack Mikhail Efimovich Solnyshkina. The record of M. Solnyshkina for 1914-1924 years safely aligned heroism during World War (1914-1917), service in the Russian “revolutionary” Army (February October 1917), participated in the “Kornilov`s affair” in Summer 1917, participate in the “anti-Soviet” mutiny Cossack Ataman P. Krasnov in October 1917. Both of these “initiatives” have ended in complete failure. M. E. Solnyshkin did not shoot as the General Staff Lieutenant-General A. M. Crymov and not been briefly detained like Don Ataman P. N. Krasnov. In contrast, less than six months, counting from December 17, 1917, when our “genshtabist” is becoming available to the commander of the Caucasian Front, Solnyshkin was on service in the “provincial” military districts of the Red Army. And he served there “faithfully”, as well as on the “red” Southern front and in various military schools of the Red Army in the first half of the 1920s.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.005
Science and technology studies0.0080.005
Scholarly communication0.0020.002
Open science0.0050.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0070.013

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 head0.064
GPT teacher head0.353
Teacher spread0.289 · 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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

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