RUSSIA’S REAL SECTOR OF ECONOMY: FACTORS AND TRENDS IN JANUARY-SEPTEMBER 2013
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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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".