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Record W6920390175 · doi:10.6068/dp1635c7a2cc513

MAP: United States Census Bureau. 2010 US Census of Population and Housing: Summary File 1: PC01. Group Quarters Population by Sex by Age | State: Alabama | Description*: Total Population, 15 to 19 Years, 20 to 24 Years, 25 to 29 Years, 30 to 34 Years, 35 to 39 Years, 40 to 44 Years, 15 to 19 Years, 20 to 24 Years, 25 to 29 Years, 30 to 34 Years, 35 to 39 Years, 40 to 44 Years, 2010. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-045-241

2018· other· en· W6920390175 on OpenAlexaboutno aff

Bibliographic record

VenueData Planet · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCensusResidencePopulationQuarter (Canadian coin)Age groupsIncidence (geometry)

Abstract

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United States Census Bureau. 2010 US Census of Population and Housing: Summary File 1: PC01. Group Quarters Population by Sex by Age | State: Alabama | Description*: Total Population, 15 to 19 Years, 20 to 24 Years, 25 to 29 Years, 30 to 34 Years, 35 to 39 Years, 40 to 44 Years, 15 to 19 Years, 20 to 24 Years, 25 to 29 Years, 30 to 34 Years, 35 to 39 Years, 40 to 44 Years, 2010. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-045-241 Dataset: Presents a count of the United States population living in group quarters by sex by age. Group quarters are places where people live or stay in a group living arrangement, which are owned or managed by an entity or organization providing housing and/or services for the residents. These services may include custodial or medical care as well as other types of assistance, and residency is commonly restricted to those receiving these services. People living in group quarters are usually not related to each other. Group quarters include such places as college residence halls, residential treatment centers, skilled-nursing facilities, group homes, military barracks, correctional facilities, and workers dormitories. Two types of group quarters are distinguished: Institutional, ie, facilities that house those who are primarily ineligible, unable, or unlikely to participate in the labor force while residents; and Noninstitutional, ie, facilities that house those who are primarily eligible, able, or likely to participate in the labor force while residents. Detailed information on the coding associated with Institutional and Noninstitutional Group Quarters types used by the Census Bureau is provided in Appendix F of the Summary File 1 Technical Documentation. The US Census Bureau’s Summary File 1 (SF1) presents data from the 2010 decennial Census of Population and Housing. The US Census counts every resident in the US every 10 years, as mandated by Article I, Section 2 of the Constitution. The data collected by the decennial census are used to determine the number of seats each state has in the US House of Representatives and to allocate federal funds to local communities. The SF1 contains 100 percent of data asked of all people and about every housing unit at the national and subnational levels. http://www2.census.gov.dartmouth.idm.oclc.org/census_2010/04-Summary_File_1/ Category: Population and Income Subject: Living Arrangements, Population, Gender, Age, Residential Institutions 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.dartmouth.idm.oclc.org

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)0.010
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 score0.252
Threshold uncertainty score0.844

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.018
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0030.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2520.223

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 head0.027
GPT teacher head0.272
Teacher spread0.245 · 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
Published2018
Admission routes1
Has abstractyes

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