| Popis: |
Could the standardisation of language narrow disparities in achievement in education amongst people of different social class, and within and across ethnicities and genders, and could this have implications for injustices and inequities in wider society? In analysing socio-economic diversity through the lens of its correlation with language, this paper examines how the standardisation of language could be used as a means to reduce such diversity. It examines links between the standardisation of language, and the reduction of inequalities between socio-economic groups, in regard to achievement in education. It also examines the correlation between language and social class, and propensity towards being a perpetrator and/or victim of hostility and violence, as well as their relationship with health and life expectancy etc. The paper further examines the effect of the use of technology and teaching methods on the acquisition of knowledge, and how this impacts upon children of different social class within the learning environment. In order to help address some of these questions, an auto-ethnographic methodology is adopted with the aim of being able to explore, and reflect upon, personal experience, and to be able to weave greater understanding and connections between apparently disparate factors related to diversity, all through the lens of language and its relationship to aspects of culture relating to social class. Amongst its conclusions, the paper argues that the standardisation and enhancement of spoken language would narrow the disparities in academic achievement between socio-economic groups. The paper also argues that in order to challenge inequitable power structures which have arisen from historical injustices, then rather than concentrating on under-representation of groups of people within high status positions in society, the focus of diversity should be directed towards challenging the over representation, in a range of settings, of groups of people within low status positions in society. Keywords: auto-ethnography, socio-economic diversity, language, Standard English, inequality |
