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The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Metatheory, Interdisciplinarity and Disability Research: A Critical Realist Perspective

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Bhaskar, Roy, Danermark, Berth·2006·Scandinavian Journal of Disability Research

Abstract

Different methodological tendencies within the field of disability research are described, and the reductionism implicit in the historically dominant models is critiqued. The advantages of critical realism over rival metatheoretical positions, including empiricism, social constructionism, neo-Kantianism and hermeneutics, is shown, demonstrating in particular what is called the “double-inclusiveness” of critical realism. A non-reductionist schema for explanation in disability research is established, and the article argues that the phenomenon of disability has the character of a “necessarily laminated system”. The fruitfulness of this approach is then illustrated with an example drawn from the field, and the case for critical realism as an ex ante explicit metatheory and methodology for disability research is further developed. The conclusion reconsiders the nature of metatheory and its role in research.

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Metadata

Authors
Bhaskar, R., & Danermark, B.
Venue
Scandinavian Journal of Disability Research
Published
2006-11
Volume
8
Issue
4
Pages
278-297
ISSN
  • 1501-7419 (ISSN-L)
  • 1745-3011
OpenAlex
W1976538862
Cited by
342
References
25
FWCI
19.60
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Metatheory, Interdisciplinarity and Disability Research: A Critical Realist Perspective. https://app.cochat.ai/papers/10.1080/15017410600914329
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Bhaskar, R., & Danermark, B. (2006). Metatheory, Interdisciplinarity and Disability Research: A Critical Realist Perspective. Scandinavian Journal of Disability Research. https://doi.org/10.1080/15017410600914329

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.