Celebrating the golden jubilee of Ratarstvo i povrtarstvo and the diamond jubilee of the Institute of Field and Vegetable Crops
Bibliographic record
Abstract
The newly founded International Legume Society early this year is making its first steps towards the first Legume Society Conference, an event which aim is to connect legume researchers worldwide and establish well-linked legume community. Its host this year, the Institute of Field and Vegetable Crops (IFVCNS) is on its well-trodden path and celebrating its diamond jubilee, 75th years since its foundation in 1938. Another less known, but worth remembering anniversary is the golden jubilee of a journal Ratarstvo i povrtarstvo (Field and Vegetable Crops) published by the IFVCNS. Starting as Zbornik radova (Review of Research Work) in 1963, in the course of 50 years, the journal published 1651 papers in total, 402 of which are devoted to legume crops. The frequency of the research papers on legumes has steadily increased from 11.7% in the first decade, up to 27.3% till today. The most numerous papers were devoted to lucerne (10.4%), soybean (9%), vetches (7.5%), clovers (6.1%) and pea (5.8%). In total 144 legume species have been investigated in the journal. Out of 55 papers with at least one author out of Serbia and other ex-Yugoslavian countries, 45 papers were published in the last decade. The editorial board comprises 56 editors, a half of them are from Bulgaria, Canada, China, Czech Republic, Finland, France, Germany, Hungary, India, Iraq, Ireland, Romania, Russia, Spain, Turkey, UK and USA.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
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".