Activities of the committee for the extermination of locusts of the Tersk regional government in the territory of Nalchik district in the last quarter of the 19th century
Bibliographic record
Abstract
The article defines the role of the Committee for the Extermination of Locusts in the Tersk region, one of the structures of the economic part of the Tersk regional government in the last quarter of the 19th century. During this period, one of the ways to include the population of the Central Caucasus in the socio-economic space of the Russian Empire was to address issues of improving agricultural efficiency through the introduction of new agricultural practices, including improving measures to control insect pests such as ranching. The article examines the functions of the Locust Extermination Committee and the mechanisms for its activities to develop and implement measures to control locusts using the example of the Nalchik district. The financial aspects of implementing a pest protection system for crops and crops are analyzed. The conclusion is made about the synthesis of a scientific and research approach in the study of natural factors that favored the emergence and spread of a locust population, such as monitoring its life cycle from egg laying to the appearance of adults, studying the natural and climatic conditions of specific localities that increased the likelihood of locust spread, and practical activities to develop a com-a set of measures for the extermination of locusts, ways of their implementation, as well as their systematic introduction into the daily agricultural life of the population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".