Неземледельческие отхожие промыслы крестьянства Темниковского и Моршанского уездов Тамбовской губернии в последней четверти xix в
Bibliographic record
Abstract
The results of complex research of non-agricultural seasonal works of the peasantry of the Tambov province are reflected in the last quarter of the 19th century. Separate aspects of social influence of non-agricultural country seasonal works in the agrarian region are tracked. The specificity of development of non-agricultural seasonal works of the peasantry of Temnikov and Morshansky districts in the direction of the Central region are defined. The common and special features of country non-agricultural withdrawal in industrial and agricultural districts of the agrarian Tambov province, in particular, similarity of social influence of seasonal works, distinctions in nature of trade activity in a place of withdrawal and distribution of not agricultural withdrawal in the last quarter of the 19th century are disclosed. The source base of the research was the published and archive business documents of district and provincial authorities, Tambov for peasant matters, and also the materials of fund of Chancery of Tambov governor contained in funds of State archive of Tambov region.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".