Trend 1970 - 2012. Bureau of Labor Statistics. International Labor Statistics [Archive]: Civilian Labor Force, Employment, and Unemployment | Country: Canada | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Whole economy | Series: UNEMPLOYMENT RATES FOR MEN, 1970-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-031-001.
Bibliographic record
Abstract
Bureau of Labor Statistics (2017). International Labor Statistics [Archive]: Civilian Labor Force, Employment, and Unemployment | Country: Canada | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Whole economy | Series: UNEMPLOYMENT RATES FOR MEN, 1970-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 002-031-001. Dataset: Presents data on employment, unemployment, labor force participation, and related statistics on the civilian labor force for the United States and other nations. The data are adjusted to concepts defined for the US Current Population Survey, specifically: the civilian noninstitutional working-age population consists of those persons 16 years of age and older, excluding persons who are either inmates of institutions or on active duty in the military; employed persons are those who, during the reference week, (a) worked at least 1 hour as paid employees, worked in their own businesses or professions or on their own farms, or worked at least 15 hours as unpaid workers in a family-operated enterprise, or (b) did not work, but had jobs or businesses from which they were temporarily absent; unemployed persons are all persons who had no employment during the reference week, were available for work, except for temporary illness, and had actively sought work during the 4-week period ending with the reference week. For further information on US Current Population Survey concepts and definitions, see the technical notes in Employment and Earnings at www.bls.gov/cps/eetech_methods.pdf. The United States Bureau of Labor Statistics (BLS) International Labor Comparisons (ILC) program publishes statistical series of data adjusted to common concepts to facilitate statistical analyses of the economic and labor market performance of the US relative to other economies and to evaluate the competitive position of the US. The emphasis of the current program is on the development of international comparisons of the labor force, employment, unemployment, and related indicators; hourly compensation costs of employees and production workers; productivity and unit labor costs in manufacturing; real gross domestic product per capita and per employed person; and consumer prices. The measures compiled relate primarily to the major developed countries, but other countries or areas of importance to US foreign trade are included in some measures. All data on nations other than the US are drawn from secondary sources; BLS does not initiate surveys or data collection programs abroad. Data are obtained from (a) statistical agencies of other countries; (b) international and supranational bodies such as the United Nations, the International Labor Office (ILO), the Organization for Economic Cooperation and Development (OECD), and the Statistical Office of the European Communities (EUROSTAT); and (c) private agencies such as banks, industry associations, and research institutions. In order to achieve the budget cuts required by the Balanced Budget and Emergency Deficit Control Act and protect core programs, the Bureau of Labor Statistics eliminated the International Labor Comparisons program in 2013. Category: Labor and Employment, International Relations and Trade 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 Force Participation, Labor Force Status, Employment, Civilian Labor Force, Civilian Employment, Unemployment
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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".