Подготовка научных и научно-педагогических кадров через целевую аспирантуру в Томском государственном университете в 1960-1980-е гг.
Bibliographic record
Abstract
organizations of the country, which did not have their own postgraduate study programs, but were in need of scientific-pedagogical personnel, received an opportunity to train scientific-pedagogical personnel at the expense of other educational institutions for themselves. The training of scientists through intentional postgraduate study concentrated in the major institutes of higher education of the country. Particularly, Tomsk State University realized such training for Siberia, the Far East and Central Asia. The training of scientists for other institutes of higher education and research institutions through intentional postgraduate study became widespread in Tomsk State University in 1960-1980s. There were a lot of problems in the functioning of intentional postgraduate study. These problems began when many institutes of higher education did not send applicants for intentional postgraduate study. Often they sent untrained candidates who were unable to pass entrance examinations and they were sent back. As a result, the university had to take untrained pedagogical and scientific people to fulfil the plan of the Ministry on admission to postgraduate study. All these found reflection in the efficiency of postgraduate study of TSU. Besides, Tomsk State University had no possibility to train postgraduate students to satisfy its own needs as the Ministry allocated almost all places for intentional postgraduate study. One more important problem was connected with the problem of job placement of graduates of intentional postgraduate study. If earlier there was a lack of staff for the higher school, in 1970-1980 there is abundance in them. Therefore, often a higher education school, which sent people for intentional postgraduate study, rejected them in a few years. On the other hand, intentional postgraduate study faced an important problem of unwillingness of intentional postgraduate students to come back to their own institute after finishing their training in the other institutes of higher education. Nevertheless in 1960-1980s the training of scientific staff through intentional postgraduate study at TSU played an important role in enhancing the staff of higher school and research institutions of Siberia and other regions of the country by highly qualified teachers and researchers.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".