MétaCan
Menu
Back to cohort

On the development of Russian artillery as a type of weapons and equipment in the late 16th century – the first quarter of the 19th century

2022· article· en· W4283218281 on OpenAlexaboutno aff
Vladimir N. Benda

Bibliographic record

VenueVestnik of Kostroma State University · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMetallurgy and Cultural Artifacts
Canadian institutionsnot available
Fundersnot available
KeywordsArtilleryQuarter (Canadian coin)State (computer science)EngineeringPeriod (music)AeronauticsOperations researchHistoryLawPolitical scienceArchaeologyComputer scienceArt

Abstract

fetched live from OpenAlex

Topicality of the study of the development of artillery as a special type of weapons and equipment in connection with artillery science in the past years of the Russian history is justified by the historical connection with the current state of science in general and with the development of military equipment and industry. The experience of establishing ways of developing scientific thought and solving certain tasks for the development of artillery weapons can be used to determine the directions and forecasts of further development of weapons and military organisation as a whole. The author believes that the main purpose of his work is an attempt to study some aspects of the artillery weapons development history in relation to the state of Russian industry, technology and scientific knowledge in the late 16th century – the first quarter of the 19th century. The article focuses on the fact that in the early 19th century, in the Russian artillery, a number of measures were carried out, primarily aimed at improving the material part of field artillery. It is established that comparative data of the field artillery of the Russian army with the artillery of certain European states show that the former, in the first quarter of the 19th century, had high technical and combat qualities; it was in no way inferior to the best French artillery at that time and was significantly higher than the Prussian, Austrian ones as well as ones of a number of other states. The author comes to the conclusion that the metallurgical plants of Russia, involved in manufacturing artillery weapons, had a relatively developed foundry and more advanced technical equipment than the metallurgical plants of the previous period. This in turn made it possible to provide the artillery of the Russian army with materiel and shells of higher quality.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.031

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 studies0.0030.004
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.223
Teacher spread0.204 · 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

Explore more

Same venueVestnik of Kostroma State UniversitySame topicMetallurgy and Cultural ArtifactsFrench-language works237,207