U.S. economy grew at 3 percent rate in Q2, best since 2015
Bibliographic record
Abstract
The U.S. economy rebounded sharply in the spring, growing at the fastest pace in more than two years amid brisk consumer spending on autos and other goods. The U.S. economy rebounded sharply in the spring, growing at the fastest pace in more than two years.The Commerce Department says the gross domestic product, the broadest measure of economic health, grew at an annual rate of 3 percent in the April-June quarter.That was the best showing since the first quarter of 2015.The result is a healthy upward revision from the government's initial estimate of 2.6 percent growth in the second quarter.The growth rate in the January-March quarter was a lackluster 1.2 percent.Improvements in consumer spending, particularly on autos, and business investment powered second-quarter growth. Those revisions offset a bigger drag from spending by state and local governments.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 0.013 |
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; both teacher heads agree on what is shown here.
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".