Урбанизация Российского и зарубежного Севера: сравнительный анализ количественных характеристик
Bibliographic record
Abstract
Urbanization is considered as part of the transformation process of the global, national, and regional systems. The author has conducted a comparative analysis of the quantitative characteristics of urbanization in the Russian North (including the Far North-East) as well as in foreign countries (territories) of the North. The article shows that, over the past 30 years, the level of urbanization in both Russia as a whole and its northern territories has been growing very slowly on the background of the population decline, while the urbanization in the foreign countries of the North is actively continuing on the background of the population growth. The analysis of urbanization processes has revealed that the main quantitative characteristics of RussiaТs Far North-East are similar to those of Northern Canada and Alaska. Therefore, it is logical to conclude that the experience of transforming the regional economic systems in these countries should be applied for the further successful development of Magadan Oblast and Chukotka.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".