A quarter of a century of cooperation and collaborative research (to the 60th birthday of archaeologist Arkady Ivanovich Korolev)
Bibliographic record
Abstract
The paper is devoted to the 60th birthday of Arkadiy Ivanovich Korolev, the dean of the Faculty of History at Samara State University of Social Sciences and Education. It summarizes the results of our collaborative research on the study of monuments from the Neolithic, Eneolithic and Early Bronze Age on the territory of the Western Volga region. These studies began in 1996 during excavations of the Volgapino Eneolithic settlement. During the past years we studied more than a dozen monuments during collaborative expeditions. 20 articles and 2 monographs have been published on the materials of these studies. During these studies the map of Eneolithic monuments distribution in the region was clarified, the periodization and chronology of Volosov and Imerca antiquities was developed, the origin of Imerca culture was established, specific features in the development of Eneolithic groups of the Middle Volga population were revealed, the chronological priority in the development of Eneolithic antiquities of the forest-steppe zone was determined, representative collections of various archaeological materials were received. The long-standing communication with A.I. Korolev has been very useful and productive. During our discussions at conferences and in expeditions common approaches to comprehension and interpretation of archaeological material were developed, which contributed to the effective solution of scientific problems.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.017 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".