Comparative characteristics of the formation of federal budget revenues in Russia and abroad
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
В данной статье проведен анализ структуры доходов федерального бюджета в США, Германии, Канады за 2017-2021 годы, выделены особенности их структуры. Сравнительный анализ доходов федерального бюджета в Российской Федерации по сравнению с доходами бюджетов других федеративных государств позволил заключить об особенностях отечественной практики. В работе предложены рекомендации по совершенствованию доходов федерального бюджета в России, что обеспечит стабильного социально-экономическое развитие. This article analyzes the structure of federal budget revenues in the USA, Germany, Canada for 2017-2021, highlights the features of their structure. The paper proposes recommendations for improving federal budget revenues in Russia, which will ensure stable socio-economic development.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it