Russia Economic Report, No. 42, December 2019 : Weaker Global Outlook Sharpens Focus on Domestic Reforms
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
After a weak performance in the first \n half of 2019, helped by monetary easing, faster public \n spending and some one-off effects, economic growth in Russia \n picked up in the third quarter at 1.7 percent, y/y. \n Consequently, our 2019 forecast has been revised upwards to \n 1.2 percent (from its previous reading of 1 percent). \n Globally, growth has weakened substantially in 2019, \n reflecting a broad-based slowdown in industrial activity and \n global trade. Slowing external demand and the OPEC \n agreement weighed on Russia's exports performance. \n Crude oil prices fell 14 percent in January-September 2019, \n y/y, reflecting a downturn in the world economy.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.028 |
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