TREND: United States Census Bureau, Bureau of Labor Statistics. Consumer Expenditures: Retired | Category: Miscellaneous expenditures | Socioeconomic Indicator*: Miscellaneous expenditures, 2000 - 2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-008-079
Notice bibliographique
Résumé
United States Census Bureau, Bureau of Labor Statistics. Consumer Expenditures: Retired | Category: Miscellaneous expenditures | Socioeconomic Indicator*: Miscellaneous expenditures, 2000 - 2016. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 002-008-079 Dataset: Refers to the occupation in which the reference person received the most earnings during the survey period. The occupational categories follow those of the Census of Population, in this case retired persons who did not work either full- or part-time during the survey period. The Consumer Expenditure Survey is a nationwide survey conducted annually for the Bureau of Labor Statistics (BLS) by the United States Census Bureau. The consumer expenditures program consists of two surveys--the Quarterly Interview Survey and the Diary Survey--that provide information on the characteristics, expenditures, and income of American consumers. For the diary survey, respondents complete a diary of expenses for two consecutive 1-week periods. The diary survey is designed to obtain data on frequently purchased items, such as food or housekeeping supplies, that respondents are less likely to recall over time. For the interview survey, respondents report data to an interviewer. Each sample household is interviewed once per quarter, for five consecutive quarters. This survey is designed to collect data on major items of expense, such as property purchases or vehicle purchases, and those that occur on a regular basis, such as rent or utility payments, that respondents recall for 3 months or longer. Each year approximately 30,000 persons participate in the Quarterly Interview Survey, and 15,000 participate in the Diary Survey. The dataset presents annual income and expenditures integrated from the Interview and Diary surveys in varying detail, classified by income, age, consumer unit size, and other demographic characteristics of consumer units. http://download.bls.gov/pub/time.series/cx/ Expenditures consist of the transaction costs, including excise and sales taxes, of goods and services acquired during the interview or recordkeeping period. Detailed inclusions and exclusions for expenditure categories are available on the BLS web site. Category: Labor and Employment, Prices, Consumption, and Cost of Living Subject: Older Workers, Occupations, Household Income, Wages, Earnings, Salaries, Retirement, Consumer Spending 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/
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,006 | 0,023 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,004 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,107 | 0,125 |
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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».