Section II. The forecast in detail
Bibliographic record
Abstract
It seems likely that the economy expanded rapidly in the second quarter following a virtual standstill in GDP growth in the two quarters at the turn of the year. The bounce back in growth is likely to be somewhat stronger than we had anticipated in April. Our estimates of monthly GDP suggest that the economy grew by 1.2 per cent in the second quarter of 2002 led by strong growth in industrial production of 1.7 per cent. Output in the private service sector is also estimated to have risen rapidly by 1.4 per cent. The pick-up in the industrial sector in the second quarter is primarily a consequence of stronger external demand. Trade data to May suggest that growth in export volumes rose markedly in the first two months of the second quarter. We expect that export volumes rose by just under 5 per cent in the quarter as a whole, increasing GDP by around 1½ per cent. At the same time growth in the demand for imports has risen, albeit by less than the acceleration in export growth. Net trade is expected to have added 0.75 percentage points to GDP growth in the second quarter.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.342 | 0.276 |
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".