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Orenburg Neplyuev Military School in the First Quarter of the XIX Century: Organization Issues

2024· article· en· W4401052173 on OpenAlexaboutno aff
Yu. M. Gordeev

Bibliographic record

VenueSibScript · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPsycholinguistics and Behavioral Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Political scienceHistoryArchaeology

Abstract

fetched live from OpenAlex

This research accumulated a representative source base on the history of military education institutions in Asian Russia in the XIX – early XX centuries. It featured the complex and contradictory processes that accompanied the first years of the Neplyuev military school in the first quarter of the XIX century. The paper introduces a wide source base that includes some previously unstudied documents from the Russian State Military Historical Archive and the Russian State Historical Archive. The author used a systematic approach that combined standard scientific techniques with special chronological, genetic, comparative, and functional historical methods. The paper describes the early years of the military school, i.e., prerequisites, opening, military governors’ contribution, the first teaching staff, financial issues, etc. The military school was unique in its international composition as it accepted sons of the Central Asian nobility. According to the curriculum, foreign languages were one of the main competences to acquire. The school trained not only officers for irregular Cossack troops, but also translators for the Orenburg Border Commission that provided international relations between Russia and the Turkic peoples of Central Asia. The school educated the indigenous population and developed its national intelligentsia while consolidating Russian influence in Central Asia. The school was an important step towards the development of the Russian Empire as a Eurasian power. The Orenburg Military School became the most important institution of military education in Asian Russia as it laid foundations for the formation of the local military and teaching personnel.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
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
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.021
GPT teacher head0.317
Teacher spread0.296 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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