Bibliographic record
Abstract
The article is a summary of Alexey Stakhov scientific way, who in 1961 graduated from Radio Engineering Faculty Kharkiv Aviation Institute with honors and became the first graduate of the faculty who in 1972, at the age of 32, defended his doctoral thesis on the specialty “computer engineering” and in 1974 received academic title of professor in the department of information-measuring systems (Taganrog Radio Engineering Institute).From 1961 to 1963 he worked as an engineer at the famous space company “Design Bureau of Electrical Instrument Engineering” (now the firm “Khartron”). From 1963 to 1966 he studied in the graduate school of the Technical Cybernetics Department of the Kharkiv Institute of Radio Electronics under the supervision of Professor Alexander A. Volkov.In 1971, in connection with the completion of his doctoral thesis, Alexey Stakhov was elected to the post of the Head of Information-Measuring Technology Department of Taganrog Radio Engineering Institute (1971-1977).Alexey Stakhov became the first Soviet professor who in early 1976 was selected by the USSR Ministry of Education for a 2-month work at Vienna Technical University.At the final stage of his stay in Austria, A. P. Stakhov delivered the extensive lecture “Algorithmic Measurement Theory and the Foundations of Computer Arithmetic” at the joint meeting of Computer and Cybernetic Societies of Austria. With this lecture, international recognition of the Stakhov’s scientific direction began.The USSR Ambassador to Austria, Mikhail Efremov, sent the extensive letter to the USSR State Committee on Science and Technology with a proposal to patent Prof. Stakhov’s inventions abroad. The results of the patenting exceeded all expectations. The 65 patents, granted by the patent offices of the USA, Japan, England, France, Germany, Canada, and other countries protect the priority of the scientific direction, created by A.P. Stakhov.In more detail with the scientific achievements of Prof. A.P. Stakhov can be found by reading his biographical article in English Wikipedia https://en.wikipedia.org/wiki/Alexey_Stakhov and its page in google citation https://scholar.google.com.ua/citations?user=oDcIzrUAAAAJ&hl=uk.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.008 |
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".