Domestic and Foreign Experience in Training Future Managers of Educational Institutions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The purpose of the presented research is to study, summarize and analyze the Ukrainian and international experience of training future teachers who will hold senior positions in educational institutions. The methods of information analysis and synthesis, the comparative method, as well as the method of induction and deduction were used in this study. At the final stage of the study, the method of analyzing scientific literature relevant to the subject of the study was used. The study analyzes the current state of training of future leading educational institutions, master’s degree students in the specialization “Management of educational institutions” on the example of educational institutions in Ukraine. Some information about universities in Poland, the United States of America, the United Kingdom and Canada was reviewed. The practical value of the presented research lies in the fact that the information from it can be used to study the international experience of training future teachers and analyze working strategies to improve the quality of teacher training in higher education institutions.
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.
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 | 0.003 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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