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Record W6901543073 · doi:10.6068/dp1687864f37394

TREND: United States Census Bureau. Historical Income Tables: Households: Table H-16. Income of Households by Race and Hispanic Origin Using 3-Year and 2-Year Moving Average Medians | Race/Ethnicity: All Races | Indicator Item: Households | Indicator: Count of Households, 1987 - 2017. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 001-063-015

2019· other· en· W6901543073 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCensusPopulationCurrent Population SurveyRace (biology)PovertyDistribution (mathematics)Personal incomeHousehold incomeTotal personal incomeQuarter (Canadian coin)

Abstract

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datasets.shared.infosheet.CitationMgr@3f9 Dataset: Reports annual median income by race and Hispanic origin of householder in most recent year dollars. Median income is the amount that divides the income distribution into two equal groups, half having incomes above the median, half having incomes below the median. Also reported are a 2-year and 3-year moving average of median income by race and Hispanic origin of householder. The householder refers to the person (or one of the people) in whose name the housing unit is owned or rented (maintained) or, if there is no such person, any adult member, excluding roomers, boarders, or paid employees. If the house is owned or rented jointly by a married couple, the householder may be either the husband or the wife. The number of householders is equal to the number of households. A household consists of all the people who occupy a housing unit, including the related family members and all unrelated people who share the housing unit. The Historical Income Tables from the United States Census Bureau are based on results of the Annual Social and Economic Supplement to the Current Population Survey (CPS ASEC). Because of its detailed questionnaire, the CPS ASEC is considered the primary source of timely official national estimates of poverty levels and rates and of widely used estimates of household income and individual earnings, as well as the distribution of that income. The CPS is primarily a labor force survey and is conducted every month by the Census Bureau for the Bureau of Labor Statistics using computer-assisted telephone interviewing (CATI) and computer-assisted personal interviewing (CAPI). The Basic CPS is used to calculate the monthly unemployment rate estimates. The ASEC provides annual estimates based on a survey of more than 75,000 household. The survey contains detailed questions covering social and economic characteristics of each person who is a household member as of the interview date. Income questions refer to income received during the previous calendar year. These questions measure the level of family income and household composition are used to determine poverty status. https://www-census-gov.libproxy2.usc.edu/data/tables/time-series/demo/income-poverty/historical-income-households.html Category: Population and Income Subject: Households, Household Income, Householders 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. https://www-census-gov.libproxy2.usc.edu

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)0.002
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.088
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.015
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0030.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0880.090

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 head0.044
GPT teacher head0.279
Teacher spread0.235 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2019
Admission routes1
Has abstractyes

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