In the Age of Changes: Rebellion, Insurrection and Revolution in the 17th – Early 20th Centuries in the Russian Province: All-Russian Conference to the 100th Anniversary of 1917 Revolutionary Events
Bibliographic record
Abstract
The author points out the importance of studying social conflicts in the history of Russia.Over the past years, this problem has been in the core of scholars' attention.The study of social conflicts and crisis periods allows revealing important features of development of the Russian state.In this regard, the conference "In the age of changes: rebellion, insurrection and revolution in the 17th -early 20th centuries in the Russian province" that took place on September 21-23, 2017 at the Elets State University named after I.A. Bunin was characterized by utmost relevance.The conference was held with the support of the Russian Foundation for Basic Research (Department of Humanities and Social Sciences) and the Administration of the Lipetsk Region.The scholars from 14 regions of Russia took part in the conference, more than half of them were represented by doctors of sciences.The reports of the conference participants aroused debates and focused on the social conflicts taking place in the Russian province in the 17 th -first quarter of the 20 th century.The reports were published in a special issue of the journal History: Facts and Symbols.The conference served as the discussion platform for major Russian scholars, and allowed to put forward new ideas, which together can be embodied in new events of this kind.The author considers several problematic reports and notes that the conference showed the importance of such events that determine and guide the development of rebellion studies in historical science.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".