Features of Officer Training in Military Educational Institutions of Ukraine
Bibliographic record
Abstract
Purpose: 1) to determine the content and peculiarities of the existing method of forming the skills of the future of the arrow, the problems, directions and prospects for improvement; 2) formulate proposals for improving the professional training of future arrowheads by introducing IDPA in the methodology of the principles, means and methods of training the shooters. Material: 299 applicants for higher education (cadets) І-ІV courses of the educational-scientific institute for the training of criminologists, in the 2021-2022 academic year. The сadets were divided into groups according to the age and gender: (48,5% young men і 51,5% young girls), 16-17-year-old (n = 49) - 21 young men and 28 young girls, 18-year-old (n = 58) - 21 young men and 37 young girls, 19-year-old (n = 97) - 46 young men and 51 young girls, 20-21-year-old (n = 95) - 57 young men and 38 young girls.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".