Cientific Career Of The Emigratedscientists Of The Pushchinoresearch Center Ras
Bibliographic record
Abstract
The article presents the results of a study of the scientific diaspora of the PushchinoResearch Center of the Russian Academy of Sciences (PRC RAS): the geography of the distribution of representatives by country and organization, as well as their scientific success and implementation. Using the example of one of the research institutes of the Research Center of the Russian Academy of Sciences, the Institute of Biochemistry and Physiology of Microorganisms of the Russian Academy of Sciences, it is shown in which directions the representatives of the scientific diaspora of this research institute are developing. As a result of the study, it was found that representatives of the foreign diaspora and their Russian colleagues work in parallel in the same scientific areas. As a result of the study, it turned out that only a little more than a quarter of all emigrating specialists achieved tangible successes in the scientific field, and more than a third altogether stopped doing science. The study is based on the integrated use of scientometric, bibliometric, bibliographic, factographic and sociological methods.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".