The Federal Reserve and the Economic Recovery
Bibliographic record
Abstract
During the financial crisis of 2007–09, the Federal Reserve took extraordinary steps to stem financial panic. Since then, the Fed has also taken extraordinary action to boost economic growth. The Fed continues to do its level best to achieve its congressionally mandated goals of maximum employment and stable prices. The following is adapted from a speech by the president and CEO of the Federal Reserve Bank of San Francisco at The Columbian’s Economic Forecast Breakfast January 10, 2012, in Vancouver, Washington. The subject of my talk is the economy and what the Federal Reserve is doing to encourage economic growth while keeping inflation low. This morning, I’ll review the events of recent years, with a special eye on how the boom and bust in housing affected the recession and the economic recovery. I’ll talk about the measures the Federal Reserve has taken to combat the financial crisis and to bolster the economy. That leads naturally to the current economic situation and my forecast of where things are going from here. I’ll focus on the progress we’re making toward the two goals Congress has assigned the Fed: maximum employment and stable prices. I’ll conclude with a few words about the current stance of Fed policy. Looking back at the crisis
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How this classification was reachedexpand
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 | 0.001 | 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) | 0.002 | 0.000 |
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 teacher head, 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".