Review on the monograph by A.N. Dolgikh “Will I Behold, My Friends, the People Unop-pressed…” Russian Nobility and the Peasant Issue in the 18th – First Quarter of 19th Century. Historiographic Essays: in 2 vols. Lipetsk, Lipetsk State Pedagogical P.P. Semenov-Tyan-Shansky University Publ., 2018, vol. 1, 354 p., vol. 2, 358 p.
Bibliographic record
Abstract
We give the assessment of the monograph, dedicated to the history of the peasant issue studies in Russia. We highly appreciate the historiographic qualification of A.N. Dolgikh. We also emphasize specifically the usage of the large number of works on peasant issue history and serfdom in Russia in the monograph, the thorough analysis of historic environment, in which these works were created, and also A.N. Dolgikh’s own opinion on argumentative issues of the subject.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".