ALL-UKRAINIAN CONFERENCE ON THE 100th ANNIVERSARY OF THE FOUNDER OF THE DEPARTMENT OF SOIL SCIENCE AND GEOGRAPHY OF SOILS OF THE ODESA UNIVERSITY OF PROFESSOR IVAN GOGOLEV
Bibliographic record
Abstract
Information is provided on the All-Ukrainian Scientific Conference, held at the Geological and Geographical Faculty of Odessa II Mechnikov National University, dedicated to the 100th anniversary of the founder of the Department of Soil Science and Soil Geography, Doctor of Agricultural Sciences, and outstanding scientist and practitioner in soil science, geography and melioration of soils, Professor Ivan Nikolaevich Gogolev. To commemorate this date and the contr ibution of Ivan Mykolayovych to the development of national soil - geography science and practice, was held the All-Ukrainian Scientif ic Conference "Soil and Geography Science and Practice - Traditions and Present" on September 12-13, 2019. The conference was attended by more than 80 participants-rep- resentatives of scientific institutions and educational institutions from Canada, the Russian Federation, Moldova, regions of Ukraine. The conference consisted of plenary and sectional meetings. About 50 papers were included in the conference program, which considered theoretical and applied problems of soil science, genesis, chemical composition and soil properties of regions of Ukraine and neighboring Moldova, protection of the soil cover of the Chernozem zone, evaluation of their current status, resear ch of scientific school.. The conference materials were published in the compilation “Soil and geographical science and practice - traditions and the present”.The life of Pr ofessor Ivan Gogolev's, becoming him as a scientist, teacher is very instructive. Student-excellent of agricultural academy, volunteer at the front in the Second World War, senior laboratory assistant, assistant professor, professor, head of the department, outstanding soil scientist and geographer, leading specialist in the field of reclamation soil science.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.051 | 0.019 |
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".