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.
Notice bibliographique
Résumé
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
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,002 |
| Méta-épidémiologie (sens large) | 0,003 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,002 |
| Science ouverte | 0,006 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».