Map of Counties (2010). United States Census Bureau. 2010 US Census of Population and Housing: Summary File 1: Group Quarters Population in Nursing Facilities/Skilled-Nursing Facilities by Sex by Age | Country: USA | State: New Hampshire | Description*: Total Population, 2010. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 001-045-245.
Notice bibliographique
Résumé
Conquest Statistical Datasets. (2014). 2010 US Census of Population and Housing: Summary File 1: Group Quarters Population in Nursing Facilities/Skilled-Nursing Facilities by Sex by Age, 2010 - 2010 [Data file]. Retrieved from http://www.data-planet.com Dataset: Presents a count of the group quarters population in the United States living in nursing and skilled-nursing facilities by sex by age. Counts are reported by state, segmented by county. 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. The United States 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 United States 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. The dataset includes population and housing characteristics for the total population, population totals for an extensive list of race (American Indian and Alaska Native tribes, Asian, and Native Hawaiian and Other Pacific Islander) and Hispanic or Latino groups, and population and housing characteristics for a limited list of race and Hispanic or Latino groups. Presented here are 177 population tables (identified with a "P") and 58 housing tables (identified with an "H") shown down to the block level; 82 population tables (identified with a "PCT") and 4 housing tables (identified with an "HCT") shown down to the census tract level; and 10 population tables (identified with a "PCO") shown down to the county level, for a total of 331 tables. There are 14 population tables and 4 housing tables shown down to the block level and 5 population tables shown down to the census tract level that are repeated by the major race and Hispanic or Latino groups. Category: Health and Vital Statistics, Population and Income Source: United States Census Bureau Subject: Rehabilitation Facilities, Age, Gender, Population, Nursing Homes
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,017 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,146 | 0,104 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».