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The Sociology of an Actor-Network: The Case of the Electric Vehicle

Callon, Michel·1986·Mapping the Dynamics of Science and Technology

Abstract

If laboratories and research sites are to the twentieth century what monasteries were to the twelfth, then the sources of their power and efficacy remain a mystery. How is it that the ideas and writings that issue from these institutions are able to revolutionise, if only gradually, conditions of work in industry, the universe of consumer goods and lifestyles? How are the discoveries made in Stanford, Gif-sur-Yvette, and Cambridge diffused such that they become universally known and recognised? How are certain technical devices, shaped in research departments of French or English companies, able to conquer markets throughout the world? Anthropological studies of the laboratory have shown that nothing exceptional occurs within the walls of research centres themselves which could account for their influence. These studies have also shown that the force and generality of results obtained cannot be attributed to the existence of a specific scientific method (Latour and Woolgar, 1979; Knorr-Cetina, 1981; Lynch, 1985). Though scientists give certain activities a higher priority than others (see Chapter 3), the former do not possess greater rigour or a logic which enable an observer to distinguish them from the latter. These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Metadata

Authors
Callon, M.
Venue
Mapping the Dynamics of Science and Technology
Published
1986
Pages
19-34
OpenAlex
W162128149
Cited by
1,573
References
0
FWCI
18.73
Type
book chapter
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Sociology of an Actor-Network: The Case of the Electric Vehicle. https://app.cochat.ai/papers/10.1007/978-1-349-07408-2_2
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Callon, M. (1986). The Sociology of an Actor-Network: The Case of the Electric Vehicle. Mapping the Dynamics of Science and Technology. https://doi.org/10.1007/978-1-349-07408-2_2

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

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