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Record 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 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUK Data Archive · 2018
Typedataset
Languageen
FieldArts and Humanities
TopicLibraries and Information Services
Canadian institutionsnot available
Fundersnot available
KeywordsCensusDocumentationIdentification (biology)Data collectionBritish Household Panel SurveyMatching (statistics)Quarter (Canadian coin)Survey data collection

Abstract

fetched live from 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.<br> <br> Please see the Geographical Lookup Tables document for further details about rural-urban indicators.<br> <br> <b>Latest Edition Information</b><br>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.<br> <br> <p><i>Understanding Society</i> (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.<br><br> 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). </p><p>Further information may be found on the <a href="https://www.understandingsociety.ac.uk/documentation/mainstage" title="Understanding Society">Understanding Society</a> main stage webpage and links to publications based on the study can be found on the Understanding Society <a href="https://www.understandingsociety.ac.uk/research/publications">Latest Research</a> webpage.<br><br> <b>End User Licence, Special Licence and Secure Access versions</b>:<br> 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. <br><br> 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. <br><br> <b>How to access genetic and/or bio-medical sample data from a range of longitudinal surveys:</b><br> 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 <a href="https://www.metadac.ac.uk/data-access-through-metadac></a> title=" metadac"="">METADAC</a> (Managing Ethico-social, Technical and Administrative issues in Data Access) website.<br></p>

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.

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), Science and technology studies, Scholarly communication, 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 score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0040.004
Open science0.0030.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.182
GPT teacher head0.297
Teacher spread0.115 · 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