Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
After picking up sharply at the beginning of the year, GDP growth slowed to 1.6 per cent in the second quarter. Demand was supported by relatively robust personal and government consumption expenditure, while investment spending and stockbuilding remained weak. Growth has lost momentum during the second half of the year as consumer and business confidence weakened markedly. The slowdown appears to have halted the trend rise in core inflation, while the unemployment rate has remained broadly stable at a level close to its structural rate. Looking forward, growth is projected to remain moderate before slower rates of destocking and a pick-up in external demand prompt a recovery, with output increasing by somewhat less than 2 and 3 per cent in each of 2003 and 2004. In its execution, the 2002 Budget represented a substantial easing of fiscal policy, with almost half of the slippage being structural in nature. The draft budget for 2003 does not include well identified measures to redress these overruns, so that the fiscal situation may deteriorate further if cyclical weakness persists. In order to prevent the overall debt from exceeding 60 per cent of GDP and so as to ensure the future sustainability of public finances, especially in the face of rising pension obligations, substantial budgetary savings will need to be found in the near future.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.134 | 0.261 |
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 it