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Cited by 520

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Exaptation: A Crucial Tool for an Evolutionary Psychology

Gould, Stephen Jay·1991·Journal of Social Issues

Abstract

Evolutionary theory lacks a term for a crucial concept—a feature, now useful to an organism, that did not arise as an adaptation for its present role, but was subsequently coopted for its current function. I call such features “exaptations” and show that they are neither rare nor arcane, but dominant features of evolution—though previously unappreciated in the context of the overly adaptationist neo‐Darwinian theory. This article argues that exaptation overcomes the fallacy of human sociobiology, helps us to understand the major patterns of flexibility and contingency in life's history, revises the roles of structure and function in evolutionary theory, serves as a centerpiece for grasping the origin and meaning of brain size in human evolution, and thereby cries out for recognition as a key to evolutionary psychology. Historical origin and current utility are distinct concepts and must never be conflated.

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Crossref · 10.1111/j.1540-4560.1991.tb01822.x

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Metadata

Authors
Gould, S. J.
Venue
Journal of Social Issues
Publisher
Wiley
Published
1991-10
Volume
47
Issue
3
Pages
43-65
ISSN
  • 0022-4537 (ISSN-L)
  • 1540-4560
OpenAlex
W1995805645
Cited by
520
References
6
FWCI
30.38
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Exaptation: A Crucial Tool for an Evolutionary Psychology. https://app.cochat.ai/papers/10.1111/j.1540-4560.1991.tb01822.x
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Gould, S. J. (1991). Exaptation: A Crucial Tool for an Evolutionary Psychology. Journal of Social Issues. https://doi.org/10.1111/j.1540-4560.1991.tb01822.x

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.