Trend 07/2007 - 07/2010. Bureau of Labor Statistics. National Compensation Survey [Archive]: Civilian Workers - Hourly Mean Earnings | Country: USA | Labor Metric: All workers | Industry: All workers | Occupation: Marriage and family therapists, 07/2007-07/2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-023-003.
Bibliographic record
Abstract
Bureau of Labor Statistics (2017). National Compensation Survey [Archive]: Civilian Workers - Hourly Mean Earnings | Country: USA | Labor Metric: All workers | Industry: All workers | Occupation: Marriage and family therapists, 07/2007-07/2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 002-023-003. Dataset: Presents estimates of hourly mean earnings of civilian workers in the United States, in total and for select metropolitan and nonmetropolitan areas. Estimates are segmented by union vs nonunion, full- vs part-time, and time vs incentive status of workers, and by industry and occupation. The civilian sector, by survey definition, excludes federal government, agricultural, and household workers. Reports data from the National Compensation Survey (NCS) on occupational earnings of workers in the United States, 2007-2010. Statistics are provided for select metropolitan and nonmetropolitan areas, and the nation. The estimates originate from the NCS Locality Pay Survey data, weighted to represent the nation as a whole, and include pay for workers in major sectors (civilian, private, state and local government) and by various occupational and establishment characteristics. Earnings are defined as regular payments from the employer to the employee as compensation for straight-time hourly or salaried work. The data are collected by BLS field economists on a probability sample of establishments selected using a 3-stage stratified design. The NCS sample is classified by the 2007 North American Industry Classification System (NAICS) and occupations are classified using the 2000 Standard Occupational Classification (SOC) system. With the enactment of the federal government's 2011 budget, the Locality Pay Survey (LPS) portion of the National Compensation Survey (NCS) was eliminated. The Bureau of Labor Statistics now provides data on wage data by occupations using data from the Occupational Employment Statistics and NCS programs. Category: Population and Income, Labor and Employment Source: Bureau of Labor Statistics The Bureau of Labor Statistics (BLS) of the United States Department of Labor is the principal fact-finding agency for the federal government in the broad field of labor economics and statistics. The BLS is an independent national statistical agency that collects, processes, analyzes, and disseminates essential statistical data to the American public, the US Congress, other federal agencies, state and local governments, business, and labor. The BLS also serves as a statistical resource to the Department of Labor. http://www.bls.gov/ Subject: Civilian Personnel, Civilian Labor Force, Civilian Employment, Earnings, Wages, Hourly Work
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.006 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.026 | 0.012 |
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".