Why this work is in the frame
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Bibliographic record
Abstract
Overview: A weaker dollar and slightly faster growth ▀ We have raised our world GDP growth forecasts this month, to 2.7% for 2017 and 3.0% in 2018 (from 2.6% and 2.9% previously). Similarly, we have lifted our inflation forecast for this year to 3.1%. ▀ Surveys continue to suggest buoyant global activity, driven by manufacturing in several countries. This, in turn, is helping pull world trade from its 2016 lows. However, this partially reflects factors such as stimulus measures in China, which is boosting construction and manufacturing and bolstering trade in the region, and also benefitting major capital goods exporters such as Germany and Japan. ▀ But there are reasons for caution given there are still underlying factors holding back demand and the likelihood that the fiscal stimulus promised by President Trump will not be as big as expected. ▀ The most important forecast change this month is that we see a weaker US dollar ahead as monetary policy tightening in the US has already been largely priced in. This means our EURUSD and GBPUSD forecasts are now $1.10 and $1.32 by year‐end, while the short‐term outlook for many EM currencies against the US$ has also firmed. ▀ We still expect the Fed to raise rates on another two occasions this year, followed by three hikes in 2018. However, we have brought forward by one quarter to Q4 2017 our forecast of when the Fed will begin to taper reinvestment of its portfolio holdings. ▀ Meanwhile, we think the ECB is still a long way from policy normalisation. We expect QE to be tapered from January until June 2018. Then, the ECB will consider lifting the deposit rate from its negative levels in the final part of 2018, and only in 2020 will it start raising the main refinancing rate. ▀ Emerging markets' prospects have improved amid a strong batch of high frequency indicators and a pick‐up in trade. Given low valuations, we see positive momentum for EM currencies and think that they may have entered a long cycle of strength.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.010 |
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