Methodological Approach to Substantiating the Volume of Academic Hours for the Educational Process in Higher Military Educational Institutions Using the Weibull-Gnedenko Nonlinear Mathematical Model
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Bibliographic record
Abstract
High requirements for professional training of Defence Specialists were and remain the main guarantee of successful functioning of any military structure. Continuous improvement of the educational process in higher military educational institutions is the basis for its transformation to the conditions of the current situation in the world. In the paper, the authors offer an option to determine the number of classroom hours. This project describes approaches to creating a new, modern system of classroom hours, which ensures the continuity of improving the level of professional competence of higher military educational institutions using the nonlinear mathematical model of Weibull-Gnedenko. Organisational and methodological problems were analysed. Because of the analysis of methodological literature, the points of view of teachers and methodologists are compared on the modern methodological work, and a mathematical model was used that established the relationship between the training level of students and the number of academic hours. The proposed model divides the educational process into initial and main periods. The learning process strengthens in the main period. There is a slowdown at the beginning and end.
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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 | 0.009 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it