Quarterly Business Indicators 2ND QUARTER 2013
Bibliographic record
Abstract
The Quarterly Business Indicators for the 2nd quarter of 2015 show a growing Lincoln economy. The rate of growth, however, lagged rapid national growth over the last year. The Lincoln MSA unemployment rate is below year-ago levels (Figure 1) and is less than half of the U.S. rate (Figure 2). Non-farm employment, which is measured via a survey of business, grew by 1.5% in Lincoln between the 2nd quarter of 2014 and 2015 (Figure 4). This was solid growth but was below the U.S. growth rate. Further, employment as measured by the household survey was flat (Table 1). Among individual industries, manufacturing, other financial services (primarily banking), and professional, scientific and technical services grew rapidly in the Lincoln MSA over the last year (Table 1). Construction and insurance employment grew slowly and there was a decline in state government employment. Taxable sales rose solidly in the Lincoln MSA between the 2nd quarter of 2014 and 2015, matching or exceeding national growth (Figures 9 and 10 and Table 1). Passenger enplanements were another bright spot, up 17.7%. Residential building permits also rose very rapidly in Lincoln (Figure 6), although at a slower pace than nationwide. One area of concern for the Lincoln economy is weekly hours (Figures 7 and 8). There was a 0.0% 0.5% 1.0% 1.5% 2.0% 2.5% 3.0% 3.5% 4.0% 2014 2015 5.1% 5.3% 5.5% 2.2% 2.2% 2.6% 0.0% 1.0% 2.0% 3.0% 4.0% 5.0% 6.0% Apr 15 May 15 Jun 15 United States Lincoln MSA VOLUME 7 NO 1 PREPARED BY THE UNL BUREAU OF BUSINESS RESEARCH 2ND QUARTER 2015 2nd Quarter 2015 page 2 LPED Quarterly Business Indicators significant decline between the 2nd quarter of 2014 and 2015.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".