Map of Counties (2010). United States Census Bureau. 2010 US Census of Population and Housing: Summary File 1: PCO1. Group Quarters Population by Sex by Age | Country: USA | Description*: Total Population, 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-045-241.
Bibliographic record
Abstract
United States Census Bureau (2017). 2010 US Census of Population and Housing: Summary File 1: PCO1. Group Quarters Population by Sex by Age | Country: USA | Description*: Total Population, 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. [Data-file]. 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. SF1 is released as individual files for each of the 50 states, Washington, DC, and Puerto Rico, and for the nation. The tables (matrices) are identical for all files, but the geographic coverage differs. For detailed information on geocoding in this dataset, please see the Technical Documentation. Note that mapping may not be available for all subnational geographies. Category: Population and Income 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: Living Arrangements, Population, Gender, Age, Residential Institutions
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.019 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.196 | 0.138 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".