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Record 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 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCensusRevenueAgency (philosophy)Government (linguistics)Distribution (mathematics)Service (business)Internal revenueProduction (economics)

Abstract

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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

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.926
Threshold uncertainty score0.406

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.019
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0740.087

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.

Opus teacher head0.025
GPT teacher head0.239
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

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