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Cited by 288

The DOI matches its Crossref record; 91 of the 91 references it cites were found in a registry or an index.

Religion and Science: Beyond the Epistemological Conflict Narrative

Evans, John H., Evans, Michael S.·2008·Annual Review of Sociology

Abstract

Studies of the relationship between religion and science have traditionally assumed that any conflict that exists is based on epistemology. This assumption is built into the history of Western academic thought, the founding of sociology itself, as well as the common definitions of religion used by social scientists. This assumption has hindered the examination of the relationship between religion and science. We categorize studies of the relationship between science and religion into three groups: the symbolic epistemological conflict studies, the symbolic directional influence studies, and the social-institutional studies. We find that the social-institutional studies, which most closely examine actual public conflicts, do not presume that the conflict is over epistemological claims and offer a more general and fruitful approach to examining the relationship between religion and science.

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Crossref · 10.1146/annurev.soc.34.040507.134702

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Metadata

Authors
Evans, J. H., & Evans, M. S.
Venue
Annual Review of Sociology
Published
2008-08-01
Volume
34
Issue
1
Pages
87-105
ISSN
  • 0360-0572 (ISSN-L)
  • 1545-2115
OpenAlex
W2119210857
Cited by
288
References
91
FWCI
16.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Religion and Science: Beyond the Epistemological Conflict Narrative. https://app.cochat.ai/papers/10.1146/annurev.soc.34.040507.134702
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Evans, J. H., & Evans, M. S. (2008). Religion and Science: Beyond the Epistemological Conflict Narrative. Annual Review of Sociology. https://doi.org/10.1146/annurev.soc.34.040507.134702

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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.