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Record W4312983520 · doi:10.1515/openms-2022-0135

Russian military perspectives on the Ottoman Empire during the Greek War of Independence

2022· article· en· W4312983520 on OpenAlexaff
Victor Taki

Bibliographic record

VenueOpen Military Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsConcordia University of Edmonton
Fundersnot available
KeywordsWar of independenceIndependence (probability theory)Ottoman empireEmpireConfessionalPoliticsSpanish Civil WarPopulationAncient historyHistoryPolitical scienceEconomic historyLawSociologyMilitary serviceDemography

Abstract

fetched live from OpenAlex

Abstract The refusal of Alexander I to declare war on the Ottoman Empire in support of the Greek Uprising in 1821 provided Russian military men with a possibility to reflect on the past Russian–Ottoman wars and prepare the best strategy for future confrontation. One of the aspects of this reflection was the growing interest of Russian military planners in the ethno-confessional composition and political attitudes of the local population in the territory of the prospective war theater. This article argues that increased attention to the population reflected the desire of the tsarist planners to avoid excesses of a “people’s war” rather than to unleash its destructive potential. Despite a strong emotional response that the Greek War of Independence provoked among the Russian military, their perspectives on the Ottoman Empire during the 1820s were for the most part quite restrained and conservative.

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)0.001
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: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.016
Scholarly communication0.0050.002
Open science0.0000.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.336
Teacher spread0.295 · 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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