Reducing the discrepancy between regional specific electricity consumption as a way to increase the structural stability of the Russian economy
Bibliographic record
Abstract
In 2010-2020 the dynamics and absolute values of regional per capita electric power consumption (EPC) in the European part of Russia was comparable with similar indicators in Western European countries, and in the Asian part - with the countries of Northern Europe, the USA and Canada. If all over the world there is a reduction in the differentiation in energy consumption between developing and developed countries, then in Russia in 1990-2012 this indicator increased, which reflects the ongoing decline in the structural stability of the domestic economy. The change in this negative trend in 2012-20018 shown on the tools of the theory of technocenoses. The need to concentrate efforts not on the growth of the EPC in regions with developed production and primary redistribution of natural resources, but on reducing the divergence of regions in terms of the value of the EPC is substantiated. In regions with low EPC, the problem is not a shortage of electricity, but the weak development of industrial and agricultural production.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".