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Enregistrement W6957625276 · doi:10.6068/dp15d2f4b223b38

RANKING: United States Census Bureau. American Community Survey Summary File: 5-Year Estimates, 2011-2015: B25042. Tenure by Bedrooms | State: Ohio | Demographic Indicator: Total:, Owner Occupied:, Owner Occupied: No Bedroom, Owner Occupied: 1 Bedroom, Owner Occupied: 2 Bedrooms, Owner Occupied: 3 Bedrooms, Owner Occupied: 4 Bedrooms, Owner Occupied: 5 or More Bedrooms, Renter Occupied:, Renter Occupied: No Bedroom, Renter Occupied: 1 Bedroom, Renter Occupied: 2 Bedrooms, Renter Occupied: 3 Bedrooms, Renter Occupied: 4 Bedrooms, Renter Occupied: 5 or More Bedrooms, 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-050-396

2017· other· en· W6957625276 sur OpenAlexaboutno aff

Notice bibliographique

RevueData Planet · 2017
Typeother
Langueen
Domaine
Thématique
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRentingCensusAmerican Community SurveyRecreationUnit (ring theory)Quarter (Canadian coin)Housing tenure

Résumé

récupéré en direct d'OpenAlex

United States Census Bureau. American Community Survey Summary File: 5-Year Estimates, 2011-2015: B25042. Tenure by Bedrooms | State: Ohio | Demographic Indicator: Total:, Owner Occupied:, Owner Occupied: No Bedroom, Owner Occupied: 1 Bedroom, Owner Occupied: 2 Bedrooms, Owner Occupied: 3 Bedrooms, Owner Occupied: 4 Bedrooms, Owner Occupied: 5 or More Bedrooms, Renter Occupied:, Renter Occupied: No Bedroom, Renter Occupied: 1 Bedroom, Renter Occupied: 2 Bedrooms, Renter Occupied: 3 Bedrooms, Renter Occupied: 4 Bedrooms, Renter Occupied: 5 or More Bedrooms, 2015. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 001-050-396 Dataset: Presents an estimate of the number of occupied housing units in the United States, subdivided according to whether the unit is owner- vs renter-occupied, and by number of bedrooms in the unit. Estimates are reported for specified geographic areas. A housing unit may be a house, an apartment, a mobile home, a group of rooms or a single room that is occupied as separate living quarters. Separate living quarters are those in which the occupants live separately from any other individuals in the building and which have direct access from outside the building or through a common hall. Boats, recreational vehicles (RVs), vans, tents, railroad cars, etc., are included only if they are occupied as someone's current place of residence. Included in this count are all rooms intended to be used as bedrooms even if they currently are being used for some other purpose. A housing unit consisting of only one room is classified as having no bedroom. The American Community Survey (ACS) conducted by the US Census Bureau provides estimates of the characteristics of the population over a specific time period. The ACS collects data from the 50 states, Washington, DC, and Puerto Rico, where it is called the Puerto Rico Community Survey. It is a continuous survey, in which each month a sample of housing unit addresses receives a questionnaire, with approximately three million addresses surveyed each year. Each year the survey produces data pooled to produce 1-year, 3-year, and 5-year estimates for geographic areas in the US and Puerto Rico, ranging from neighborhoods to congressional districts to the entire nation. Data for each release of the 5-year estimates were collected over a 5-year period ending December 31 of the reference year (eg, data in the 2012 5-year estimates were collected January 1, 2008 - December 31, 2012). The statistics reported represent the characteristics of the population for the entire period vs a specific year within that period. The 5-year estimates are published for areas with populations of all sizes and are the most reliable and precise of the ACS period estimates as well as the most comprehensive, albeit the least current. (The 1-year and 3-year estimates provide data on areas with populations of 65,000+ and 20,000+, respectively). The ACS estimates provide information about the social and economic needs of communities and are used to help determine how more than $400 billion in federal and state funds are distributed each year. It is conducted under the authority of Title 13, United States Code, Sections 141 and 193. Note that counts of the population are provided by the Census of Population and Housing conducted by the US Census Bureau every 10 years; and official estimates of the population are derived from the previous census and from the Census Bureau’s Population Estimates Program. https://www.census.gov/programs-surveys/acs/data.html Category: Population and Income, Housing and Construction Subject: Housing Tenure, Occupancy Rates, Housing Characteristics, Rental Housing, Housing Inventory, Housing Quality, Owner-Occupied Housing 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

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Jeu de données · Signal consensuel: Jeu de données
Score de désaccord entre enseignants0,836
Score d'incertitude au seuil0,547

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,013
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0040,016
Études des sciences et des technologies0,0010,000
Communication savante0,0030,003
Science ouverte0,0030,002
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,1640,190

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,035
Tête enseignante GPT0,322
Écart entre enseignants0,288 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreJeu de données

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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