Small and Medium Enterprise Growth Index: A New Tool for Monitoring the State of the Small and Medium Business Sector in Russia
Why this work is in the frame
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Bibliographic record
Abstract
The article presents the Small and Medium Enterprise Growth Index (SMEs), developed by the Stolypin Institute for the Economy of Growth based on the data of PAO Sberbank. The tool proposed by the authors allows not only to carry out operational monitoring of the state of the SME sector, but also to assess the effectiveness of state policy aimed at developing the SME sector, including with the aim of designing further measures to support it. In the context of a pandemic and sanitary and epidemiological restrictions, according to the results of the 1st-3rd quarters of 2020, the index showed moderate growth in the SME sector, close to "stagnation" (+5.8 p.). At the same time, the growth of the index relative to the 2nd quarter of 2020, during which the decline in business activity was maximum, amounted to +1 p.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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