48 research outputs found
Development of a Grid Enabled Occupational Data Environment
The GEODE project is developing user-oriented Grid-based services, accessible via a portal, for social scientists who require and use 'occupational information' within their research. There are many complexities associated with social scientists’ use of data on individual occupations. These arise for example from the availability of numerous alternative occupational classifications, and the use of different occupational definitions across countries. This paper describes how the GEODE project is developing an online service which acts as a facility supporting access to numerous occupational information resources. This is achieved through an integrated Grid service which uses a Globus Toolkit 4 infrastructure and OGSA-DAI (Database Access and Integration) middleware to provide the necessary data indexing and matching services, accessed through a user-oriented front-end portal (using GridSphere). The paper discusses issues in the implementation and organization of these services
The concealed middle?:An exploration of ordinary young people and school GCSE subject area attainment
This is the final version of the article. Available from ESRC Centre for Population Change via the link in this record.In Britain school examination results are now an annual newsworthy item. This recurrent event illustrates, and reinforces, the importance of school level qualifications. The General Certificate of Secondary Education (GCSE) is the standard qualification undertaken by pupils at the end of year 11 (age 15-16). GCSEs continue to play an important and central role in young people’s educational and employment pathways. Within the sociology of youth there has been recent interest in documenting the lives and educational experiences of ‘ordinary’ young people. There are many analyses of agglomerate (i.e. overall) school GCSE attainment. More recently attention has been focused on individual GCSE subjects. In this paper we analyse school GCSE attainment at the subject area level. This is an innovative approach and our motivation is to explore substantively interesting patterns of attainment that might be concealed in analyses of overall attainment, or attainment within individual subjects. We analyse data from the Youth Cohort Study of England and Wales using a latent variable approach. The modelling process uncovered four distinctive latent educational groups. One latent group is characterised by high levels of overall attainment, whereas another latent group is characterised by poor GCSE performance. There are two latent groups with moderate or ‘middle’ levels of GCSE attainment. These two latent groups have similar levels of agglomerate attainment, but one group performs better in science and the other performs better in arts GCSEs. Pupils study for multiple GCSEs which are drawn from a wide menu of choices. There is a large array of possible GCSE subject combinations, and results in individual GCSE subjects are highly correlated. The adoption of a latent variable approach is attractive because it handles the messy nature of the data whilst not trivialising its complexity. The paper demonstrates that a latent variable approach is practicable with large-scale social survey data, and is appealing for the analysis of more contemporaneous cohorts.The ESRC Centre for Population Change (CPC) is a joint initiative between the
Universities of Southampton, St Andrews, Edinburgh, Stirling, Strathclyde, in
partnership with the Office for National Statistics (ONS) and the General Register
Office Scotland (GROS). The Centre is funded by the Economic and Social
Research Council (ESRC) grant numbers RES-625-28-0001 and ES/K007394/1
A Review of occupation-based social classifications for social survey research
This article is a review of issues associated with measuring occupations and using occupation-based socio-economic classifications in social science research. The review is orientated towards researchers who undertake secondary analysis of large-scale micro-level social science datasets. This article begins with an outline of how to handle raw occupational information. This is followed by an introduction to the two main approaches to measuring occupations and a third lesser known but intellectually innovative approach. The three approaches are social class schemes, social stratification scales and the microclass approach. International comparisons are briefly described and a discussion of intersectionality with other key variables such as age and gender is provided. We are careful to emphasise that this article does not advocate the uncritical adoption of any one particular occupation-based socio-economic measure over and above other alternatives. Rather, we are advocating that researchers should choose from the portfolio of existing socio-economic measures in an informed and empirically defensible way, and we strongly advocate undertaking sensitivity analyses. We conclude that researchers should always use existing socio-economic measures that have agreed on and well-documented standards. We strongly advise researchers not to develop their own measures without strong justification nor to use existing measures in an un-prescribed or ad hoc manner
Could using general health and longstanding limiting illness as a joint health outcome add to understanding in social inequalities research?
No abstract available
Social reproduction and mobility in Britain and Ireland in the nineteenth and early twentieth centuries
This article presents some preliminary results from a historical study of social mobility in Britain and Ireland, from the late eighteenth to the early twentieth century. The study is marked by a unique combination of features: (1) it follows families for up to five generations, through both maternal and paternal lines; (2) it uses a continuous measure of social position, rather than class categories; (3) this measure is derived from data on social interaction – correspondence analyses of cross-tabulations of the occupations for marriages taking place in the periods 1777–1866 and 1867–1913; (4) each individual's social position is summarised by a work-life trajectory, represented by his social location at ages 20 and 50. The analyses are based on twelve ten-year birth cohorts from 1790–99 to 1900–09. The results indicate a remarkable degree of stability of social processes of reproduction throughout this period, although there is an extremely slow shift towards a weakening of family influence. This process appears to have accelerated for those born in the last quarter of the nineteenth century, a period of both educational reform and major change in Britain's industrial organisation