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
There are signs that the global outlook has begun to brighten. Activity remains more resilient than expected, although with considerable divergence across economies, inflation is falling steadily and unemployment remains low. Global growth is projected to remain unchanged in 2024 and strengthen modestly in 2025, with inflation returning to target in most countries by the end of 2025. Risks around the outlook are becoming better balanced, but substantial uncertainty remains. High geopolitical tensions, particularly in the Middle East, could disrupt energy and financial markets, causing inflation to spike and growth to falter. Elevated debt service burdens could rise further as low-yielding debt is rolled over, exposing financial vulnerabilities. Inflation might prove more persistent than anticipated but could also fade faster if strong labour force growth continues. The key policy priorities are to ensure a durable reduction in inflation, establish a fiscal path that will address rising pressures, and undertake reforms to raise sustainable and inclusive growth in the medium term.This issue includes an assessment of the global economic situation, and a chapter summarising developments and providing projections for each individual country. Coverage is provided for all OECD members as well as for selected partner economies.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.006 |
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