ECONOMIC POTENTIAL OF TOBOLSK PROVINCE (LATE XIX – EARLY XX CENTURIES)
Bibliographic record
Abstract
The relevance of the topic under study is related to the problems of the uneven economic situation of the regions of modern Russia. The key purpose of the article is to consider the dynamics of the development of the region’s economy during the historical period, accompanied by modernization processes in the life of the entire state. Materials and methods. The research is based on various sources presented in the form of periodicals and reference and statistical publications. The theoretical basis of the work is the theory of modernization. The principle of historicism, comparative historical and descriptive methods are used. Results. The paper examines the state of the economic potential of the Tobolsk province in the last quarter of the XIX – early XX centuries. Various economic indicators are presented that make it possible to draw reasonable conclusions about the real situation of the economic life of the studied region. Separate categories of economic activity that were specific to the region are indicated, comparative characteristics of the economic potential of the Tobolsk province with other regions in the same period are given. The scope of the results. The conclusions presented in this article may have practical application in the process of teaching relevant disciplines in educational institutions of various levels.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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; 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".