Trend 2000 - 2014. Bureau of Labor Statistics. Current Population Survey: Union Affiliation Statistics: Employed | Country: USA | Seasonally Adjusted: Non-Seasonally Adjusted | Demographic Indicator: - Percent of employed, Represented by unions, Construction and extraction occupations, 2000-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-028-001.
Bibliographic record
Abstract
Bureau of Labor Statistics (2015). Current Population Survey: Union Affiliation Statistics: Employed | Country: USA | Seasonally Adjusted: Non-Seasonally Adjusted | Demographic Indicator: - Percent of employed, Represented by unions, Construction and extraction occupations, 2000-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 002-028-001. Dataset: Reports estimates of the civilian noninstitutional population ages 16 and older that are employed, members of unions, and represented by unions, segmented by age, race, Hispanic or Latino ethnicity, sex, occupation, industry, and state. Median weekly earnings data are also available for members of unions, workers represented by unions, and non-union workers, and segmented by age, race, Hispanic or Latino ethnicity, sex, occupation, and industry. Employed persons are all those who, during the reference week, (1) did any work at all as paid employees, worked in their own business or profession or on their own farm, or worked 15 hours or more as unpaid workers in a family-operated enterprise; and (2) all those who did not work but had jobs or businesses from which they were temporarily absent due to illness, bad weather, vacation, childcare problems, labor dispute, maternity or paternity leave, or other family or personal obligations (whether or not they were paid by their employers for the time off and whether or not they were seeking other jobs). Each employed person is counted only once, even if he or she holds more than one job. Included in the total are employed citizens of foreign countries who are residing in the United States, but who are not living on the premises of an embassy. Excluded are persons whose only activity consisted of work around their own home (such as housework, painting, repairing, and so forth) or volunteer work for religious, charitable, and similar organizations. The Current Population Survey (CPS) is a monthly survey of the civilian noninstitutional population ages 16 and older conducted with a probability sample of 60,000 households in the United States by the Census Bureau for the Bureau of Labor Statistics. Presented here are Union Affiliation Labor Force Statistics obtained via the CPS, which provides data for all workers, members of unions, and workers represented by unions, segmented by age, race, Hispanic or Latino ethnicity, sex, occupation, industry, state, and full- or part-time status. Median weekly earnings data are also available for members of unions, workers represented by unions, and non-union workers segmented by age, race, Hispanic or Latino ethnicity, sex, occupation, industry and full- or part-time status. CPS data are collected by personal and telephone interviews. The survey reference period is the calendar week (Sunday through Saturday) that includes the 12th day of the month; the actual survey is conducted during the following week, ie, the week containing the 19th day of the month. Basic labor force data are gathered monthly; data on special topics are gathered in periodic supplements. Persons less than 16 years of age are excluded from the official estimates because child labor laws, compulsory school attendance, and general social custom in the US severely limit the types and amount of work that children under age 16 can do. (Prior to 1948, the sampled population included those ages 14 and older.) Persons on active duty in the US Armed Forces are excluded from coverage, as is the institutional population, which consists of residents of penal and mental institutions and homes for the aged and infirm. The data are annual averages of information collected monthly in the survey, as calculated from not seasonally adjusted monthly data. 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: Labor Union Membership, Workers, Labor Unions, Civilian Labor Force, Earnings
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 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 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.015 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.085 | 0.094 |
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".