Bibliographic record
Abstract
В статье рассматриваются основные направления выполненных по инициативе Петра I реформ в отечественной артиллерии в первой четверти XVIII века - организация артиллерии и развитие материальной части. Анализируются основные конструктивные особенности артиллерийских орудий, применявшихся в период Северной войны. Сделан вывод о значении традиции, продолжающейся со времён правления Петра Великого, - постоянно совершенствовать материальную часть артиллерии. Обращено внимание на высокие достижения в создании артиллерийских орудий, боевых машин и ракетных комплексов в XX столетии выдающихся конструкторов - учёных и выпускников Ленинградского военно-механического института. We look at the main directions of the reforms initiated by Peter I in the Russian artillery in the first quarter of the XVIII century concerning the organization of the artillery and the development of the materiel. The main design features of the artillery guns used during the Northern War are analyzed. The conclusion is made about the significance of the tradition since the reign of Peter the Great to constantly improve the materiel of the artillery. We pay attention to the great achievements of researchers and graduates of the Leningrad Military Mechanical Institute in making artillery guns, combat vehicles and missile systems in the XX century.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".