DECPG Weekly Global Economic Brief. -- no. 271 (July 17, 2015)
Bibliographic record
Abstract
Some of the headings included in this issue of the Development Economics Prospects Group (DECPG) weekly global economic newsletter are as follows: European institutions moved to re-open funding to Greece; China’s Second Quarter (Q2) Gross Domestic Product (GDP) grew more than expected; United States (U.S) retail sales fell unexpectedly in June; German inflation slowed markedly in June; Ghana paused interest rate-tightening cycle; Policy rates provide the benchmark for short-term borrowing costs throughout the economy, including shorterdated bonds; That said, a key reason for negative sovereign yields in core European countries is technical, a result of demand pressures stemming from the European Central Bank's (ECB)extended asset purchase program; Prospects of growing imbalances between the limited supply of eligible bonds and rising demand under the ECB quantitative easing program have pushed down yields in core Euro Area countries and, indirectly, in other European countries.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.332 | 0.321 |
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".