Bibliographic record
Abstract
After months of decelerating economic activity following tur-bulence in financial markets in the second quarter of 2012, global economic activity is slowly picking up once again—most notably in developing countries. But the modest rebound is tenuous. The latest data show declining growth in industrial production in the world’s two largest economies, the United States and Japan. Due to mid-year weakness, calendar year global gross domestic product (GDP) growth projections are being tentatively downgraded by about 0.2 percentage points to 2.3 percent in 2012, and by 0.6 percentage points in 2013 to 2.4 percent, mainly because of the recession in the euro-zone (figure 1). Threats to the recovery include the difficul-ties of implementing eurozone fiscal consolidation; remain-This note discusses the external environment, economic outlook, and key policy challenges for the six South East Euro-pean Countries (SEE6)—Albania, Bosnia and Herzegovina (BIH), Kosovo, the former Yugoslav Republic (FYR) of
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.179 | 0.007 |
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; both teacher heads agree on what is shown here.
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".