America's New Post-Recession Employment Arithmetic
Bibliographic record
Abstract
The unfolding of the second decade of the new millennium is but a few months away. There is now a growing consensus among experts, including Federal Reserve Chairman Ben Bernanke, that the Great 2007–2009 Recession technically came to an end in the third quarter of this year. So, it is highly probable that the new decade will begin with the nation’s aggregate economic output on an upward trajectory. However, we are not moving forward from a robust economic foundation—a condition that characterized the start of the current decade—but, instead, the nation is emerging from the depths of the worst recession since the Great Depression. Thus, it is vitally important to have a set of realistic economic expectations of what is to come. Consequently, the subject of this first Advance & Rutgers Report (formerly the Rutgers Regional Report) is developing the daunting arithmetic of employment recovery in the United States. The implications and conclusions of this sobering arithmetic can be instrumental in shaping the economic, business, and real estate markets as the new decade evolves.
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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) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".