Marina Shapira
University of Stirling
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European Educational Research Journal | 2012
Marina Shapira
This article presents findings from a comparative study of sources of educational disadvantage of immigrant children across 18 OECD countries, which is based the data from the 2006 Programme for International Student Assessment (PISA). The findings show that disadvantaged family background and lack of host-country-specific cultural capital account for a large part of the attainment gap between immigrants and their non-migrant peers. The findings also show that school characteristics in terms of their size, quality of teachers and educational resources contribute to the understanding of the further part of the immigrant performance gap. Moreover, school characteristics mediate between the immigrant students family characteristics and their attainment, by reinforcing or diminishing the impact of the family characteristics. Furthermore, the institutional characteristics of immigration countries, such as type of education provision, type of welfare provision and type of immigration policy, also play a part in producing and maintaining educational disadvantage of immigrant pupils, by affecting the attainment level and mediating between the individual- and school-level characteristics and pupils attainment. It was found that the first generation of immigrant children perform particularly well in countries with a liberal type of welfare regime, more standardised educational systems and more selective immigration policies; there was also some evidence that institutional factors shape educational attainment of the second generation of immigrant children in a way which more closely resembles that of the children from non-immigrant backgrounds — the former perform better in countries with a more inclusive (social-democratic) type of welfare provision, but also in countries with less differentiated and more standardised educational systems.
Journal of Social Work | 2018
Paul Bywaters; Jonathan Scourfield; Chantel Jones; Tim Sparks; Martin Elliott; Jade Hooper; Claire McCartan; Marina Shapira; Lisa Bunting; Brigid Daniel
Comparative international data on patterns of inequality in child welfare interventions, for example, the proportion of children about whom there are substantiated child protection concerns or who are in out-of-home care, are far less developed than data about inequalities in health. Few countries collect reliable, comprehensive information and definitions, methods of data collection and analysis are rarely consistent. The four UK countries (England, Northern Ireland, Scotland and Wales) provide a potential ‘natural experiment’ for comparing intervention patterns. This study reports on a large quantitative, descriptive study focusing on children in contact with children’s services on a single date in 2015. It found that children’s chances of receiving a child protection intervention were related to family socio-economic circumstances, measured by neighbourhood deprivation, within all four countries. There was a strong social gradient which was significantly steeper in some countries than others. Ethnicity was another important factor underlying inequalities. While inequalities in patterns of intervention between the four countries were considerable, they did not mirror relative levels of deprivation in the child population. Inequalities in intervention rates result from a combination of demand and supply factors. The level and extent of inequity raise profound ethical, economic and practical challenges to those involved in child protection, the wider society and the state.
Archive | 2013
Ronald W McQuaid; Helen Graham; Marina Shapira
The conversation | 2018
Marina Shapira
Scottish Educational Review | 2018
Marina Shapira; Mark Priestley
Population Space and Place | 2018
Marina Shapira; Vernon Gayle; Elspeth Graham
Population Space and Place | 2018
Marina Shapira; Vernon Gayle; Elspeth Graham
Journal of Social Work | 2018
Paul Bywaters; Jonathan Scourfield; Chantel Jones; Tim Sparks; Martin Elliott; Jade Hooper; Claire McCartan; Marina Shapira; Lisa Bunting; Brigid Daniel
International Journal for Population Data Science | 2018
Linda Cusworth; Jade Hooper; Nina Biehal; Marina Shapira; Helen Whincup
Population Space and Place | 2017
Marina Shapira; Vernon Gayle; Elspeth Graham