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Record W6947396791 · doi:10.3886/icpsr34763

Census of Population and Housing, 2010 [United States]: Guam Summary File

2018· dataset· en· W6947396791 on OpenAlexaboutno aff

Bibliographic record

VenueICPSR Data Holdings · 2018
Typedataset
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsnot available
Fundersnot available
KeywordsCensusPopulationResidenceQuarter (Canadian coin)ApartmentUnit (ring theory)PovertyCitizenship

Abstract

fetched live from OpenAlex

The Guam Summary File contains data on population and housing subjects compiled from questions on the 2010 Guam Census questionnaire. Population subjects include age, sex, children ever born, citizenship status, foreign-born status, disability status, educational attainment, ethnic origin or race, family type, grandparents as caregivers, group quarters population, health insurance coverage status, household type and relationship, employment status and subsistence activity, work experience, class of worker, industry, occupation, place of work, journey to work, travel time to work, language spoken at home and frequency of language usage, marital status, nativity, year of entry, place of birth, parents' place of birth, earnings, income, remittances sent abroad, poverty status, residence in 2009, reason for moving, school enrollment, vocational training, military dependents and veteran status. Housing subjects include air conditioning, battery-operated radio ownership, computer ownership, internet service, kitchen facilities, cooking facilities, mortgage status, number of rooms, number of bedrooms, occupancy status, occupants per room, plumbing facilities, gross rent, condominium fee, selected monthly owner costs, sewage disposal, water supply, source of water, telephone service available, tenure, type of building materials, units in structure, vacancy status, value of home, vehicles available, year householder moved into unit and year structure built. The data are organized in 411 tables, one variable per table cell, which are presented at up to 15 levels of observation, including Guam as a whole, municipalities, census designated places, census tracts, block groups, blocks and 5-digit ZIP Code Tabulation Areas. Fifty tables are presented at the block level and higher, 255 at the block group level and higher and 106 at the census tract level and higher. Additionally, the tables are iterated for 21 geographic components of Guam as a whole: 15 urban components (total urban, urbanized areas, urban clusters, and urbanized areas and urban clusters of various population sizes) and 6 rural components (total rural, rural areas outside places, rural areas inside places and inside places of various population sizes). Due to problems in the initial version, the Census Bureau ultimately issued the tables as three data products. The first or main release comprises 35 data files with all the tables except PBG7 (Nativity by Citizen Status by Year of Entry), PBG9 (Year of Entry for the Foreign-born Population) and ten tables on selected monthly owner costs, the tables HBG75, HBG76, HBG77, HBG78, HBG79, HBG80, HBG81, HCT18, HCT19 and HCT20. The second, called the Guam Year of Entry Summary File, consists of two data files with the tables PBG7 and PBG9. The third is a document file with the ten tables on selected monthly owner costs. ICPSR provides each product as a separate ZIP archive. The archive with the selected monthly owner costs tables also includes additional technical documentation prepared by the Bureau.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.106
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1060.000

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 head0.050
GPT teacher head0.282
Teacher spread0.232 · 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 teacher head, 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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