Morgantown MSA Economic Monitor June 2010
Bibliographic record
Abstract
The Morgantown MSA, which includes Monongalia and Preston counties, added 370 jobs from 2008 to 2009, far outpacing the massive job losses for the state and the nation.However, performance differed greatly across the two counties in the metropolitan area, as Monongalia County added 830 jobs, while Preston County lost 460 jobs.Job gains in Monongalia County last year far outpaced any other county in West Virginia.Indeed there were only four other counties in the state that added jobs last year, with the rest either stable or losing jobs.Recent data suggests that Morgantown continued to add jobs in the first quarter of 2010.From the first quarter of 2009 to the first quarter of 2010, the Morgantown MSA added jobs at a rate of 0.9 percent, which was much faster than West Virginia (-2.6 percent ) and the U.S. (-2.4 percent).Even so, growth was relatively weak compared to the local area's average annual employment growth of 2.9 percent from 2003 to 2008.This slower growth is reflected in a significant increase in the Morgantown unemployment rate, which was 5.1 percent in 2009, compared to 2.9 percent in 2008.However, the local rate remains well below the state (7.9 percent) and national (9.3 percent) rates in 2009.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.051 | 0.001 |
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".