УЧЕНИЙ, ПЕДАГОГ, ОРГАНІЗАТОР (до 70-річчя професора В. Ф. Варгалюка)
Bibliographic record
Abstract
The article is dedicated to the 70-years-old jubilee of a well-known electrochemistry scientist, Doctor of Chemical Sciences, professor V. F. Vargalyuk. The article reflects the main milestones of his life and career. More than 50 years of Viktor Fedorovich's life are connected with the chemistry department of the Oles Honchar Dnipro National University, where he came as a student. He started his scientific activity as a student at the Department of Physical Chemistry under the guidance of a famous specialist in the field of electrochemistry prof. Yu. M. Loshkarev. Studying the interactions of surface-active complexing agents in practically important processes, V. F. Vargalyuk made a significant contribution to the development of the theory of the influence of these substances on the kinetics and mechanism of electrochemical reactions. For a long time he was in charge of the research laboratory of electrodeposition of metals, which is certified by the International Corrosion Council among the world's leading anti-corrosion research laboratories.V. F. Vargalyuk's organizational activity as the dean of the chemical faculty of Oles Honchar Dnipro National University, who he has been for almost a quarter of a century, is revealed. Victor Fedorovich is able to respond to the challenges of time quickly and adequately and find the most optimal ways to develop the faculty.The article also mentions the pedagogical achievements of V. F. Vargalyuk. He has developed and implemented in the educational process more than 20 various general and special courses in almost all sections of chemistry - inorganic, physical, colloidal, food, computer, and crystal chemistry.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.056 | 0.046 |
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".