Quarterly Business Indicators 2ND QUARTER 2013
Bibliographic record
Abstract
The Quarterly Business Indicators for the 2nd quarter of 2013 show steady growth in the Lincoln, Nebraska economy. Growth rates in the Lincoln area are similar to growth rates nationwide. 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 job growth and rapid growth in hours-worked and building permits. Non-farm employment grew by 1.4% in the Lincoln MSA between the 2nd quarter of 2012 and 2013, which is slightly below the 1.6% growth rate nationwide (Figure 4). Building permits were up 21.2% in Lincoln between the 2nd quarter of 2012 and 2013 (Figure 6). Average hours worked rose by a robust 1.9% in the Lincoln MSA over the last year (Figure 8). Motor vehicle taxable sales rose sharply in the Lincoln MSA between the 2nd quarter of 2012 and 2013 (Figure 10, Table 1). However, other taxable sales were up only modestly in Lincoln (Figure 9, Table 1). Among individual industries, manufacturing employment expanded between the 2nd quarter of 2012 and 2013 (Table 1), at twice the national rate. Insurance employment expanded, and growth was rapid in other financial services, which grew by 2.7%. Professional, scientific and technical employment grew in Lincoln, but at only half the national growth rate. There was solid growth in education and health care employment. Finally, given Nebraska’s relatively strong fiscal condition, state government employment expanded in Lincoln over the last year, while it continued to decline nationally.
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.138 | 0.227 |
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".