CONTRADICTIONS AND THE POTENTIAL FOR THE DEVELOPMENT OF THE NATIONAL ECONOMY IN 2024
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 статье анализируются макроэкономическая ситуация в национальной экономике через призму сравнения результатов 2023 года и разворачивающихся тенденций 2024 года. Обоснован оптимистический итог завершения прошлого года. Обозначены основные перспективы российской экономики в условиях геополитической напряжённости 2024 года. Обоснованы скромные результаты первого квартала текущего года. Сформулировано предложение о задействовании новых стимулов, без чего невозможно выйти на траекторию устойчивого развития. The article analyzes the macroeconomic situation in the national economy through the prism of comparing the results of 2023 and the unfolding trends of 2024. The optimistic outcome of the end of last year is justified. The main prospects of the Russian economy in the context of geopolitical tensions in 2024 are outlined. The modest results of the first quarter of this year are justified. A proposal has been formulated to use new incentives, without which it is impossible to enter the trajectory of sustainable development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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