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Enregistrement W6939084572 · doi:10.6068/dp166c7d2c9dc16

TREND: US Census Bureau, United States Census Bureau. County Business Patterns by NAICS Code (2003 - Current): Industrial Establishments (250 - 499 Employees) | State: Michigan | County: Kent, Ottawa | NAICS Code: 311, 3112, 3113, 3114, 3115, 3118, 3119, 312, 313, 314, 3149, 315, 3152, 3159, 316, 3162, 3169, 321, 3212, 3219, 322, 324, 325, 3252, 3253, 3254, 326, 327, 331, 332, 333, 334, 335, 336, 337, 339 | NAICS Description: Food Manufacturing, Grain and Oilseed Milling, Sugar and Confectionery Product Manufacturing, Fruit and Vegetable Preserving and Specialty Food Manufacturing, Dairy Product Manufacturing, Bakeries and Tortilla Manufacturing, Other Food Manufacturing, Beverage and Tobacco Product Manufacturing, Textile Mills, Textile Product Mills, Other Textile Product Mills, Apparel Manufacturing, Cut and Sew Apparel Manufacturing, Apparel Accessories and Other Apparel Manufacturing, Leather and Allied Product Manufacturing, Footwear Manufacturing, Other Leather and Allied Product Manufacturing, Wood Product Manufacturing, Veneer, Plywood, and Engineered Wood Product Manufacturing, Other Wood Product Manufacturing, Paper Manufacturing, Petroleum and Coal Products Manufacturing, Chemical Manufacturing, Resin, Synthetic Rubber, and Artificial Synthetic Fibers and Filaments Manu, Pesticide, Fertilizer, and Other Agricultural Chemical Manufacturing, Pharmaceutical and Medicine Manufacturing, Plastics and Rubber Products Manufacturing, Nonmetallic Mineral Product Manufacturing, Primary Metal Manufacturing, Fabricated Metal Product Manufacturing, Machinery Manufacturing, Computer and Electronic Product Manufacturing, Electrical Equipment, Appliance, and Component Manufacturing, Transportation Equipment Manufacturing, Furniture and Related Product Manufacturing, Miscellaneous Manufacturing, 2003 - 2016. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 001-007-011

2018· other· en· W6939084572 sur OpenAlexaboutno aff

Notice bibliographique

RevueData Planet · 2018
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCensusRevenueAgency (philosophy)Government (linguistics)Distribution (mathematics)Service (business)Internal revenueProduction (economics)

Résumé

récupéré en direct d'OpenAlex

datasets.shared.infosheet.CitationMgr@c69 Dataset: Shows number of business establishments with 250-499 employees. Establishment is defined as a single physical location where business is conducted or where services or industrial operations are performed. 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. https://www.census.gov/programs-surveys/cbp/data/datasets.html Category: Industry, Business, and Commerce, Labor and Employment Subject: Small Businesses, Employment, Business Size, Manufacturing Businesses 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

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,926
Score d'incertitude au seuil0,406

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,019
Études des sciences et des technologies0,0010,000
Communication savante0,0020,002
Science ouverte0,0020,001
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0740,087

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.

Tête enseignante Opus0,025
Tête enseignante GPT0,239
Écart entre enseignants0,215 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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