Ranking of Counties (2011). United States Census Bureau. County Business Patterns by NAICS Code (2003-Current): Annual Payroll | Country: USA | State: North Carolina | NAICS_ID: 0 | NAICS Code*: Total, 2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-007-003.
Bibliographic record
Abstract
Conquest Statistical Datasets. (2014). County Business Patterns by NAICS Code (2003-Current): Annual Payroll, 2003 - 2011 [Data file]. Retrieved from http://www.data-planet.com Dataset: Shows annual business payroll, by State, county, and NAICS industry. Total annual payroll includes all forms of compensation, such as salaries, wages, commissions, bonuses, vacation allowances, sick-leave pay, and the value of payments inkind (e.g., free meals and lodgings) paid during the year to all employees. Data are from the United States Census Bureau's County Business Patterns (CBP), an annual series that provides national and subnational data on the distribution of economic data by size and industry. CBP covers most of the country's economic activity. CBP basic data items are extracted from the Business Register, a file of all known single and multi-establishment employer companies maintained and updated by the Census Bureau. The annual Company Organization Survey provides individual establishment data for multi-establishment companies. Data for single-establishment companies are obtained from various Census Bureau programs, such as the Annual Survey of Manufactures and Current Business Surveys, as well as from administrative records of the Internal Revenue Service, the Social Security Administration, and the Bureau of Labor Statistics. The series excludes data on self-employed individuals, employees of private households, railroad employees, agricultural production employees, and most government employees. CBP covers most NAICS industries, excluding crop and animal production (NAICS 111,112); rail transportation (NAICS 482); Postal Service (NAICS 491); pension, health, welfare, and vacation funds (NAICS 525110, 525120, 525190); trusts, estates, and agency accounts (NAICS 525920); private households (NAICS 814); and public administration (NAICS 92). Category: Industry, Business, and Commerce, Labor and Employment Source: United States Census Bureau Subject: Businesses, Compensation, Salaries, Payroll, Wages, Employer Costs
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.024 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.053 | 0.044 |
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".