RUSSIA’S REAL SECTOR OF ECONOMY: FACTORS AND TRENDS IN JANUARY-SEPTEMBER 2013
Why this work is in the frame
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Bibliographic record
Abstract
The results of January-September 2013 point to the continued trend in economic growth slowdown. Within the above period, the industrial production index amounted to 100.1% on January-September 2012, including that of manufacturing industry which was equal to 99.7%. The index of agricultural industry happened to be below the expected mid-year values and was at the level of 101.8% as compared to January-September 2012. In the building and investment complex, a slump intensified by quarters of the current year. In January-September 2013, investments in capital assets decreased by 1.9%, while in the 3rd quarter, by 1.2% on the respective period of the previous year. A drama?? c slowdown of the dynamics of GDP takes place with preservation of the trend towards growth in wages and salaries which situation increases the risks of downfall of financial indices of economic activities..
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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