THE MAIN DIRECTIONS, TENDENCIES AND PATTERNS OF DEVELOPMENT OF MILITARY ART OF TRAINING AND EMPLOYMENT OF TROOPS (FORCES) IN EVACUATION BY SEA IN MILITARY CONFLICTS OF XX — FIRST QUARTER OF XXI CENTURY
Bibliographic record
Abstract
In the context of the large-scale armed aggression of the russian federation against Ukraine, the understanding and awareness of military history by military specialists, the ability to use it creatively in combat training and solving combat tasks have become particularly relevant. In this context, the experience of training and employment of troops (forces) in interspecies (interagency, coalition) operations (actions), including evacuation of troops (forces) by sea, is of great importance. At the same time, in order to professionally solve the tasks, especially in difficult combat conditions, military specialists face an urgent need to predict possible developments in the future, which requires them to have a clear understanding of the trends and patterns of development of the art of war. An analysis of the main studies and publications of domestic and foreign researchers on the history of military art in military conflicts of the twentieth and first quarter of the twenty-first century shows that they mainly focus on identifying the main trends in the development of military art of our time, highlighting the most important socio- economic, political, spiritual and other components of the preparation and conduct of interspecies (interagency, coalition) operations (actions). At the same time, the study of trends and patterns in the development of military art related to the evacuation of troops (forces) by sea has been ignored by researchers and has not been the subject of a holistic, thorough and objective military history study. As a result, the study of this issue is of both practical and scientific and theoretical importance. In the article, based on the analysis of the evacuation of troops (forces) by sea in military conflicts of the twentieth — first quarter of the twenty-first century, the author identifies and substantiates the most significant trends and patterns of development of the military art of training and employment of troops (forces) in such operations (actions) which can form the basis for the vision of further prospects for its development. Also, taking into account the experience of preparation, progress and results of the evacuation of troops (forces) by sea during the specified period, the main directions of development of military art in these matters are determined.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".