United States economic outlook: Third quarter of 2021
Bibliographic record
Abstract
Economic growth in the United States slowed to 2.1% year-on-year in the third quarter \nof 2021, from 6.7% year-on-year in the second quarter of 2021. Consumer spending \nin the third quarter rose at its slowest pace since the recovery began, as durable \ngoods spending fell sharply amid supply shortages and rising inflationary pressures. \nThe labour market remained strong, averaging 651,000 new jobs per month. With \nthe Federal Reserve shifting its stance towards reducing accommodative measures \nat a faster pace, Latin America and the Caribbean may experience tighter external \nfinancial conditions next year. \nThe United States economic outlook: third quarter of 2021 presents and analyses \nmacroeconomic developments in the United States economy and examines how \nthey could affect financial conditions in Latin America and the Caribbean. The report \nincludes the gender perspective of the impact of the pandemic on the labour market.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".