e-space
Manchester Metropolitan University's Research Repository

    Neuroqueer(ing) Noise: Beyond ‘Mere Inclusion’ in a Neurodiverse Early Childhood Classroom

    Shannon, David Ben (2020) Neuroqueer(ing) Noise: Beyond ‘Mere Inclusion’ in a Neurodiverse Early Childhood Classroom. Canadian Journal of Disability Studies, 9 (5). pp. 489-514.

    [img]
    Preview
    Published Version
    Available under License Creative Commons Attribution Non-commercial No Derivatives.

    Download (364kB) | Preview

    Abstract

    Inclusion, as it is understood in a British education context, usually refers to the integration of children with dis/abilities into a mainstream school. However, rather than transform the school, inclusion often seeks to rehabilitate—to tune-up—the ‘divergent’ child’s noisy tendencies, making them more easily included. Music and the arts more broadly have long been instrumentalized as one way of achieving this transformation, relying on the assumption that there is something already inherently opposed to music—out-of-tune, or noisy—about that child. In this article, I think and compose with Neuroqueer(ing) Noise, a music research-creation project conducted in an early childhood classroom. I draw from affect and neuroqueer theories to consider how the instrumentalization of music as a way to include autistic children relies on the assumption that ‘they’ are already inherently unmusical. I consider how a deliberate attention to noise might help in unsettling ‘mere inclusion’: in effect, changing the mode we think-with in education, and opening us—researchers and educators—to momentarily say “No!” to ‘mere inclusion’. This article is of relevance to teachers working in early childhood classrooms, as well as to educational researchers interested in affect theories, crip-queer and neuroqueer theories, and neurodiversity, as well as sound- or arts-based research methods.

    Impact and Reach

    Statistics

    Activity Overview
    6 month trend
    253Downloads
    6 month trend
    101Hits

    Additional statistics for this dataset are available via IRStats2.

    Altmetric

    Repository staff only

    Edit record Edit record