Statistical Indicators of Income Differentiation of Population in the Republic of Kalmykia at the Present Stage
Bibliographic record
Abstract
The article examines the main indicators of the standard of living of Kalmykia. On the basis of statistical indicators of the size of subsistence minimum, the average income per capita, the average monthly wage and the structure of money income the author has analyzed the dynamics of changes in the standard of living and income differentiation of the population. It is noted that since 2005 the size of subsistence minimum in Kalmykia has increased by nearly 59% and accounted 7750 rubles in the fourth quarter of 2014. In 2010, 48.5% of the population had an income of less than 6,000 rubles per month. Compared to 2010, in 2013 the proportion of people whose income was less than 6,000 rubles per month decreased by 10% and amounted 28.3%. The statistics show that the average wage of the region in the given period amounted 24,920 rubles. The population of the republic basically spends the money on goods and services (consumer spending). The analysis showed that the level of unequal access to income and other resources still remains high, as shown by the indicators of income inequality.
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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 | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".