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Record W2954634653 · doi:10.1080/13518046.2019.1618576

The Dargo Expedition of 1845: Lessons Learned and Unlearned

2019· article· en· W2954634653 on OpenAlexaff
Alexander Statiev

Bibliographic record

VenueThe Journal of Slavic Military Studies · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsFirepowerBattleResidenceInsurgencyAncient historyHistoryRAIDBattlefieldLawPolitical scienceSociologyDemography

Abstract

fetched live from OpenAlex

This article examines the Dargo expedition, an episode of the Caucasus War waged in 1817–1864 by Russia against the tribes of the North Caucasus. In 1845, Tsar Nicholas I ordered a raid in the depth of the mountains controlled by rebels led by imam Shamil. The expedition, targeting the village of Dargo, Shamil’s residence, was to lure the tribesmen into a decisive battle, which the Russians were expected to win and thus destroy the protracted insurgency. However, the expedition ended in a spectacular failure, because its planners ignored the challenges of mountain warfare. The article focuses on these challenges and shows how the rebels’ skill in mountain warfare triumphed over the great superiority in numbers, firepower, and discipline enjoyed by the Russians.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.035
GPT teacher head0.278
Teacher spread0.242 · 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 designObservational
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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