Trend 2004 - 2013. United States Census Bureau. County Business Patterns by NAICS Code (2003 - Current): First Quarter Payroll | Country: USA | State: Texas | UserCube39Dim0Col0: 312112 | UserCube39Dim0Col1: Bottled Water Manufacturing, 2004-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-007-002.
Notice bibliographique
Résumé
United States Census Bureau (2017). County Business Patterns by NAICS Code (2003 - Current): First Quarter Payroll | Country: USA | State: Texas | UserCube39Dim0Col0: 312112 | UserCube39Dim0Col1: Bottled Water Manufacturing, 2004-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. Dataset-ID: 001-007-002. Dataset: Shows business payroll at first quarter of the reference year. First quarter payroll includes all forms of compensation, such as salaries, wages, commissions, bonuses, vacation allowances, sick-leave pay, and the value of payments inkind (e.g., free meals and lodgings) paid during the 1st quarter (January to March) to all employees. Data are from the US Census Bureau's County Business Patterns (CBP), an annual series that provides national and subnational data on the distribution of economic data by size and industry. Presented here are data by state and county. CBP covers most of the country's economic activity. CBP basic data items are extracted from the Business Register, a file of all known single and multi-establishment employer companies maintained and updated by the Census Bureau. The annual Company Organization Survey provides individual establishment data for multi-establishment companies. Data for single-establishment companies are obtained from various Census Bureau programs, such as the Annual Survey of Manufactures and Current Business Surveys, as well as from administrative records of the Internal Revenue Service, the Social Security Administration, and the Bureau of Labor Statistics. The series excludes data on self-employed individuals, employees of private households, railroad employees, agricultural production employees, and most government employees. Statistics were tabulated by industry as defined in North American Industry Classification System (NAICS). CBP covers most NAICS industries, excluding crop and animal production (NAICS 111,112); rail transportation (NAICS 482); Postal Service (NAICS 491); pension, health, welfare, and vacation funds (NAICS 525110, 525120, 525190); trusts, estates, and agency accounts (NAICS 525920); private households (NAICS 814); and public administration (NAICS 92). The dataset incorporates code changes for the reference year. Category: Industry, Business, and Commerce, Labor and Employment Source: United States Census Bureau The US Census Bureau is a bureau of the US Department of Commerce. The major functions of the Census Bureau are authorized by Article 2, Section 2 of the United States Constitution, which provides that a census of population shall be taken every 10 years, and by Title 13 and Title 26 of the United States Code of Federal Regulations. The Census Bureau is responsible for numerous statistical programs, including census and surveys of households, governments, manufacturing and industries, and for US foreign trade statistics. The first US census was conducted in 1790 for the purposes of apportioning state representation in the US House of Representatives and for the apportionment of taxes. http://www.census.gov Subject: Employer Costs, Payroll, Compensation, Businesses, Wages, Salaries
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 | 0,001 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,004 | 0,018 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,003 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,078 | 0,095 |
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 ».