2017 Quarter 4 New River Mount Rogers (WDA II) Quarterly Workforce Report
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Welcome to the 2017 fourth quarter workforce report, produced by the Virginia Tech Office of Economic Development on behalf of the New River Mount Rogers Workforce Development Board (WDA II). This region comprises the New River Valley Regional Commission and the Mount Rogers Planning District, including the counties of Bland, Carroll, Floyd, Giles, Grayson, Montgomery, Pulaski, Smyth, Washington, Wythe and the independent cities of Bristol, Galax and Radford. These quarterly reports present an analysis of regional labor supply and demand data, to inform the public of the evolving workforce landscape. Please note that the data presented in this report is the most up-to-date data available as of December 2017. In this quarter’s report, we explore some basic regional trends including population, employment, and workforce gaps. We then delve into four industries targeted by two regional GO Virginia Growth and Diversification Plans. WDA II straddles GOVA regions one and two. Region I is comprised of Workforce Development Area I and the Mount Rogers Planning District—spanning from Washington County in the southwest, Carroll County in the southeast, Buchanan County in the northwest, and Bland County in the northeast. Region 2 comprises the New River Valley and Workforce Development Area III (Roanoke)—spanning from Pulaski in the southwest, Franklin County in the southeast, Giles in the northwest, and Alleghany County in the northeast. GO Virginia is a recent initiative approved by Virginia’s House of Delegates, which offers funding for suitable workforce and economic development projects. By improving collaboration across regions, this initiative is meant to leverage local capacity to encourage the development of targeted industry clusters that offer predominantly higher wages and attract money from outside the state. GO Virginia regions across the state have identified four or more target industry clusters, and have developed strategies to grow and diversify these clusters. Arguably one of the most prominent strategies identified by all GO Virginia regions was to growth, retain, and attract skilled workers. This report will provide some basic data on the target GOVA clusters in WDA II and highlight assets and areas where WDB stakeholders may play a role in GO Virginia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 0.039 |
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 it