MétaCan
Menu
Retour à la cohorte
Enregistrement W6948648133 · doi:10.5255/ukda-sn-7454-7

Understanding Society: Waves 1-8, 2009-2017 and Harmonised BHPS: Waves 1-18, 1991-2009: Special Licence Access, Census 2001 Rural-Urban Indicators

2018· dataset· en· W6948648133 sur OpenAlexaboutno aff

Notice bibliographique

RevueUK Data Archive · 2018
Typedataset
Langueen
DomaineArts and Humanities
ThématiqueLibraries and Information Services
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCensusDocumentationIdentification (biology)Data collectionBritish Household Panel SurveyMatching (statistics)Quarter (Canadian coin)Survey data collection

Résumé

récupéré en direct d'OpenAlex

This dataset contains rural-urban indicator variables for each wave of Understanding Society and harmonised BHPS to date, and a household identification serial number for file matching to the main data. These data have more restrictive access conditions than those available under the standard End User Licence (see 'Access' section). Those users who wish to make an application for these data should contact the HelpDesk for further details. Please see the Geographical Lookup Tables document for further details about rural-urban indicators. Latest Edition Information For the 7th edition (November 2018), Wave 8 data have been added, some minor changes made to Waves 1-7, and the documentation has been updated. Understanding Society (UK Household Longitudinal Study), which began in 2009, is conducted by the Institute for Social and Economic Research (ISER), at the University of Essex, and the survey research organisations are Kantar Public and NatCen. It builds on and incorporates, the British Household Panel Survey (BHPS), which began in 1991. The latest release combines the first seven waves of Understanding Society data with harmonised data from all eighteen waves of the BHPS. As multi-topic studies, the purpose of Understanding Society and BHPS is to understand short- and long-term effects of social and economic change in the UK at the household and individual levels. The study has a strong emphasis on domains of family and social ties, employment, education, financial resources, and health. Understanding Society is an annual survey of each adult member of a nationally representative sample. The same individuals are re-interviewed in each wave approximately 12 months apart. When individuals move they are followed within the UK and anyone joining their households are also interviewed as long as they are living with them. The study has five sample components: the general population sample, a boost sample of ethnic minority group members, an immigrant and ethnic minority boost sample (from wave 6), participants from the BHPS and the Innovation Panel (which is a separate standalone survey (see SN 6849). The fieldwork period is for 24 months. Data collection primarily uses computer assisted personal interviewing (CAPI), but includes a telephone mop up, and from Wave 7 of Understanding Society, web-based interviews. One person completes the household questionnaire. Each person aged 16 or older participates in the individual adult interview and self-completed questionnaire. Youths aged 10 to 15 are asked to respond to a paper self-completion questionnaire. For the general and BHPS samples biomarker, genetic and epigenetic data are also available (see SN 7251). Further information may be found on the Understanding Society main stage webpage and links to publications based on the study can be found on the Understanding Society Latest Research webpage. End User Licence, Special Licence and Secure Access versions: There are two versions of the main Understanding Society data. One is available under the standard End User Licence (EUL) agreement, and the other is a Special Licence (SL) version. The SL version contains month and year of birth variables instead of just age, more detailed country and occupation coding for a number of variables and various income variables have not been top-coded (see the documentation available with the SL version for more detail on the differences). Users are advised to first obtain the standard EUL version of the data to see if they are sufficient for their research requirements. The SL data have more restrictive access conditions; prospective users of the SL version will need to complete an extra application form and demonstrate to the data owners exactly why they need access to the additional variables in order to get permission to use that version. The SL versions of the main Understanding Society and Innovation Panel studies may be found under SNs 6931 and 7083 respectively. Low- and Medium-level geographical identifiers are also available subject to SL access conditions; see SNs 6666, 6668-6675, 7182, 7453-4, 7629-30, 7245 and 7248-9 (mainstage study) and 6908-6916, 7339 and 7637-41 (Innovation Panel). In addition, a fine detail geographic dataset (SN 6676) is available under more restrictive Secure Access conditions that contains British National Grid postcode grid references (at 1m resolution) for the unit postcode of each household surveyed, derived from the ONS National Statistics Postcode Directory (NSPD). For details on how to make an application for Secure Access dataset, please see the SN 6676 catalogue record. How to access genetic and/or bio-medical sample data from a range of longitudinal surveys: A useful overview of the governance routes for applying for genetic and bio-medical sample data, which are not available through the UK Data Service, can be found at Governance of data and sample access on the title=" metadac"="">METADAC (Managing Ethico-social, Technical and Administrative issues in Data Access) website.

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)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,137
Score d'incertitude au seuil0,272

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,008
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,005
Études des sciences et des technologies0,0010,000
Communication savante0,0010,002
Science ouverte0,0010,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0640,036

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 Opus0,182
Tête enseignante GPT0,297
Écart entre enseignants0,115 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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
Publié2018
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueUK Data ArchiveMême sujetLibraries and Information ServicesTravaux en français237 207