Euro Area Economy Gains Strength
Bibliographic record
Abstract
The world economy continues to expand, albeit at a slightly more subdued pace. In the U.S.A., the growth deceleration was primarily attributable to lower investment and weaker consumer spending. In response to these developments, the Federal Reserve kept the key interest rate steady in August 2006, after raising it 17 consecutive times over the past two years. In Japan, the economic recovery gathered enough steam for the Bank of Japan to hike interest rates in July for the first time in six years. China’s and Southeast Asia’s high growth rates remained broadly unchanged; inflationary pressures have increased in several countries of the region, above all because of the high oil price. The euro area economy continued to recover, with GDP growth exceeding expectations in the second quarter of 2006. Recent forecasts suggest that growth – which was carried primarily by domestic demand – will exceed potential growth in 2006, and unemployment is expected to decline markedly. Even though the short-term outlook for price stability has deteriorated owing to an increase in indirect taxes in Germany, the upward pressure on consumer prices may be expected to ease, as the oil price has decreased significantly since mid-August after triggering a rise in inflation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.034 | 0.017 |
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".