Trend 1996 - 2011. Bureau of Labor Statistics. International Labor Statistics [Archive]: Hourly Compensation of Manufacturing Workers | Country: Canada | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Manufacturing | Series: MANUFACTURING HR COMPENSATION INDEX, U.S. DOLLAR BASIS (YEAR 2000=100), 1996-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 002-031-004.
Bibliographic record
Abstract
Bureau of Labor Statistics (2017). International Labor Statistics [Archive]: Hourly Compensation of Manufacturing Workers | Country: Canada | Seasonally Adjusted: Non-Seasonally Adjusted | Industry: Manufacturing | Series: MANUFACTURING HR COMPENSATION INDEX, U.S. DOLLAR BASIS (YEAR 2000=100), 1996-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 002-031-004. Dataset: Presents data on manufacturing employer labor costs for the United States and other nations. Hourly compensation costs consist of (1) hourly direct pay before payroll deductions and (2) employer social insurance expenditures and other labor taxes. The definition of hourly compensation costs used by the Bureau of Labor Statistics (BLS) is less inclusive that that of the International Labor Office (ILO): For example, expenditures on the maintenance and repair of facilities related to company-provided services are excluded, along with recruitment and vocational training costs and reimbursements of business expenses. Production workers generally include those employees who are engaged in fabricating, assembly, and related activities; material handling, warehousing, and shipping; maintenance and repair; janitorial and guard services; auxiliary production (for example, in powerplants); and other services closely related to the preceding activities. Working supervisors generally are included; apprentices and other trainees generally are not. Persons are considered employed if they receive pay for any part of the specified pay period. Earnings, hours worked, and employment statistics are obtained from surveys or censuses of manufactures, or from administrative data sources. The statistics are adjusted, where necessary, to account for major differences in worker coverage, differences in industrial classification systems, and changes over time in survey coverage, sample benchmarks, or the frequency of surveys. The average daily exchange rate for the reference period is used to convert hourly compensation costs to US dollars. 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: Employer Costs, Production Workers, Compensation, Manufacturing Industry, Hourly Work
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 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.022 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.077 | 0.092 |
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".