TREND: United States Census Bureau. State and Local Government Employment: Full-Time State Payroll | State: North Carolina | County: Yancey, Yadkin, Wilson, Wilkes, Wayne, Watauga, Washington, Warren, Wake, Vance, Union, Tyrrell, Transylvania, Swain, Surry, Stokes, Stanly, Scotland, Sampson, Rutherford, Rowan, Rockingham, Robeson, Richmond, Randolph, Polk, Pitt, Person, Perquimans, Pender, Pasquotank, Pamlico, Orange, Onslow, Northampton, New Hanover, Nash, Moore, Montgomery, Mitchell, Mecklenburg, Mcdowell, Martin, Madison, Macon, Lincoln, Lenoir, Lee, Jones, Johnston, Jackson, Iredell, Hyde, Hoke, Hertford, Henderson, Haywood, Harnett, Halifax, Guilford, Greene, Granville, Graham, Gates, Gaston, Franklin, Forsyth, Edgecombe, Durham, Duplin, Davie, Davidson, Dare, Currituck, Cumberland, Craven, Columbus, Cleveland, Clay, Chowan, Cherokee, Chatham, Catawba, Caswell, Carteret, Camden, Caldwell, Cabarrus, Burke, Buncombe, Brunswick, Bladen, Bertie, Beaufort, Avery, Ashe, Anson, Alleghany, Alexander, Alamance | Employee Type: Total, Financial Administration, 1993 - 2013. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-029-002
Bibliographic record
Abstract
United States Census Bureau. State and Local Government Employment: Full-Time State Payroll | State: North Carolina | County: Yancey, Yadkin, Wilson, Wilkes, Wayne, Watauga, Washington, Warren, Wake, Vance, Union, Tyrrell, Transylvania, Swain, Surry, Stokes, Stanly, Scotland, Sampson, Rutherford, Rowan, Rockingham, Robeson, Richmond, Randolph, Polk, Pitt, Person, Perquimans, Pender, Pasquotank, Pamlico, Orange, Onslow, Northampton, New Hanover, Nash, Moore, Montgomery, Mitchell, Mecklenburg, Mcdowell, Martin, Madison, Macon, Lincoln, Lenoir, Lee, Jones, Johnston, Jackson, Iredell, Hyde, Hoke, Hertford, Henderson, Haywood, Harnett, Halifax, Guilford, Greene, Granville, Graham, Gates, Gaston, Franklin, Forsyth, Edgecombe, Durham, Duplin, Davie, Davidson, Dare, Currituck, Cumberland, Craven, Columbus, Cleveland, Clay, Chowan, Cherokee, Chatham, Catawba, Caswell, Carteret, Camden, Caldwell, Cabarrus, Burke, Buncombe, Brunswick, Bladen, Bertie, Beaufort, Avery, Ashe, Anson, Alleghany, Alexander, Alamance | Employee Type: Total, Financial Administration, 1993 - 2013. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-029-002 Dataset: Covers full-time employees payroll amounts. Payroll amounts represent gross payrolls for the 1-month period of March (31 days). The gross payroll includes all salaries, wages, fees, commissions, bonuses, or awards paid to employees during the pay period that includes the date of March 12. Payroll amounts reported for a period other than 1 month are converted to represent an amount for the month of March. All payroll figures are in current whole dollars and have not been adjusted for inflation. Data in these files are based on information obtained in the Annual Survey of Government Employment and Payroll. The survey measures the number of state and local government employees and their gross payrolls for the pay period including March 12. The survey provides data on full-time and part-time employment, part-time hours worked, full-time equivalent employment, and payroll statistics by governmental function. http://www.census.gov/govs/apes/ Category: Government and Politics Subject: Public Sector, State Government, Payroll, Civil Service, Full-Time Workers, Employer Costs, Local Government Source: United States Census Bureau The United States Census Bureau is a bureau of the United States Department of Commerce. The major functions of the Census Bureau are authorized by Article 2, Section 2 of the United States Constitution, which provides that a census of population shall be taken every 10 years, and by Title 13 and Title 26 of the United States Code of Federal Regulations. The Census Bureau is responsible for numerous statistical programs, including census and surveys of households, governments, manufacturing and industries, and for United States foreign trade statistics. The first United States census was conducted in 1790 for the purposes of apportioning state representation in the House of Representatives of the United States and for the apportionment of taxes. http://www.census.gov
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.
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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.014 | 0.014 |
| Meta-epidemiology (broad) | 0.014 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.014 | 0.005 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".