Member Board of Governors of the Federal Reserve System
Bibliographic record
Abstract
I am pleased to have the opportunity to address the World Economy Laboratory spring conference. I know that you have a keen interest in the likely future course of the economy and of monetary policy, so I will use my time today to comment on both topics. I will begin with the economic outlook, discussing prospects for economic growth, the labor market, and inflation, and conclude by drawing some implications for monetary policy. As always, my views are my responsibility alone and are not to be ascribed to my colleagues in the Federal Reserve System. l The Prospects for Economic Growth Broadly, the economy has shown substantially increased vitality since the middle of last year, and with the passage of time the economic recovery has shown increasing signs of becoming self-sustaining. JUdging from the most recent data, growth in domestic spending appears consistent with growth in real gross domestic product (GDP) in the range of 4-112 to 5 percent for the first quarter and at a rate of 4 percent or higher for 2004 as a whole. One reason for increased confidence that the recovery is becoming self-sustaining is that the expansion of aggregate demand has become more broad-based,
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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.271 | 0.275 |
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".