Bibliographic record
Abstract
The economy is slowing as expected. NIESR's estimate of monthly GDP suggests that the rate of economic growth slowed from 0.3 per cent in the first quarter of this year to 0.2 per cent in the second quarter of this year (figure 1), the weakest rate of growth since the second quarter of 2001. Recent data on the state of the economy is mixed. Retail sales volume growth surged to 1.8 per cent per quarter in the three months to May 2008, up from a rate of growth of 1.2 per cent in the preceding three months. The index of production, however, recorded a fall of 0.5 per cent in the three months to May 2008. The index of services suggests services output growth has continued to be relatively subdued. The quarterly rate of growth in the three months to April was 0.3 per cent, half the rate of growth in the final quarter of 2007. While the retail sales data are not yet consistent with a consumer led slowdown, the decline of hotel and restaurant output in the three months to April suggests that other components of consumer spending are slowing.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.104 | 0.050 |
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".