Bibliographic record
Abstract
The financial crisis is still spreading and deepening and is making inroads on the real economy. Forecasting is always "work in progress" but the exceptional situation today makes it feel like shooting at a moving target from a ship on the high seas. The forecasts of the Working Group were prepared at the beginning of October, starting off from data supplied by member institutes, prepared somewhere in the third quarter. We already took the liberty during our meeting to make bigger than usual adjustments to these national trade forecasts, to get closer to the rapidly deteriorating situation in the world economy. But it is clear that our efforts fell short of what we are experiencing today.Given the uncertainties, the Working Group did not think it opportune to prepare a completely new detailed trade forecast. Instead we present the data prepared early October, which already incorporate strong downward shifts in the overall outlook, but give ample attention to the current trends and risks. We also provide a model simulation estimating the possible effects on trade variables of the rapidly declining short-term growth outlook for the world economy, the weaker euro and the lower oil and other commodity prices. In the original forecast, world trade growth decelerated from 7.4% in 2007 via 5.0% in 2008 to 2.5% next year. The simulation suggests that world trade levels might actually decline in 2009.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.232 | 0.154 |
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".