Trade and trade policy developments
Bibliographic record
Abstract
The expansion of global output and trade gained considerable momentum in the second half of 2003 resulting in an annual average increase of world GDP and world merchandise exports of 2.5 per cent and 4.5 per cent respectively. These changes represent stronger than expected improvements when compared with the preceding year although trade growth remained below the average rate recorded in the 1990s. These annual results were negatively affected by a combination of unusual, temporary factors and longer-term structural weaknesses in a number of major economies (in particular the state of the banking system in Japan and the labour markets in Western Europe). One of the influencing temporary factors was the emergence of the severe acute respiratory syndrome (SARS) in East Asia. Although SARS remained a limited epidemic relative to malaria and the acquired immunity deficiency syndrome (AIDS), it had a dramatic short-term impact on the movement of people and on the tourism industry in the region. The build up of tensions resulting in the military conflict in Iraq weakened consumer and business confidence in many regions in the first quarter of the year. In OECD countries the composite leading (business) indicator hit its lowest level in March 2003 then displayed a trend increase from May 2003 onwards. The major stock markets showed a similar development, dropping sharply until March but recovering thereafter and then expanding sharply until the end of the year.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.051 | 0.012 |
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".