PERM SCIENTIFIC SCHOOL OF BEARINGS FOUNDED BY PROFESSOR BORIS ALEXANDROVICH IVANOV
Bibliographic record
Abstract
The article is devoted to the 100th anniversary of the birth of an outstanding teacher and scientist, professor of the Perm Polytechnic Institute (PPI), now PNRPU, Boris AlexandrovichIvanov, one of the founders of the PPI, a participant in the Great Patriotic War. Boris Alexandrovich graduated from the Kazan Aviation Institute and defended his PhD thesis in 1956; since 1957 he became the head of the department"Machine Parts". Since 1963, the department began to develop a scientific direction-the study of the performance of mainly aircraft rolling bearings. After the All-Union Congress on Machine Reliability held in Perm in 1964, Boris Alexandrovich introduced a section on reliability to the course "Machine Parts". In 1965, on his initiative, a section of reliability and friction units was created at NTO MASHPROM, in which the staff of the department held scientific and technical conferences every two years with the wide participation of specialists from different cities of the country. Scientific and technical seminars with reports were held every quarter, mainly from the enterprises of the city. A brilliant lecturer and educator-teacher of young employees, Boris Alexandrovich paid great attention to improving their pedagogical and scientific qualifications, especially supported the independent work of young people. Under the leadership of Boris Alexandrovich, eleven candidate dissertations were completed and successfully defended, he was confirmed in the title of professor and honored worker of the higher school. So the Perm School of Bearing Workers, well-known in the country, was created. Boris Alexandrovich has always remained in the memory of grateful students.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.070 | 0.045 |
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".