Quarterly Business Indicators 3RD QUARTER 2013
Bibliographic record
Abstract
The Quarterly Business Indicators for the 3rd quarter of 2013 show solid progress in the Lincoln, Nebraska economy. Improvements in the economy are broad-based. The Lincoln MSA unemployment rate remains at year ago levels (Figure 1) but is still half of the U.S. rate (Figure 2). Lincoln is experiencing solid labor market growth. Non-farm employment grew by 1.5% in the Lincoln MSA between the 3rd quarter of 2012 and 2013, which is slightly below the 1.7% growth rate nationwide (Figure 4). However, average hours worked rose by 0.4% in the Lincoln MSA over the last year (Figure 8) versus a 0.4% decline nationally. Building permits also are up 17.4% in the Lincoln MSA compared to last year (Figure 6). Taxable sales rose solidly in the Lincoln MSA between the 3rd quarter of 2012 and 2013 (Figures 9 and 10). Motor vehicle sales are up 12.5% while other taxable sales are up 6.3% (Table 1). Among individual industries, manufacturing and insurance employment were unchanged in Lincoln between the 3rd quarter of 2012 and 2013 (Table 1). Professional, scientific and technical services employment also was flat over the year. This result is concerning since professional, scientific and technical services are a source of high wage jobs. State government employment declined during the year, by 1.0%. Among growing industries, construction employment expanded by 2.5% while other financial services (primarily banking) grew by 4.1%. Health care employment expanded by 1.5%.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.016 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.165 | 0.273 |
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 source (direct Gemma or distilled Codex), 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".