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Cited by 470

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Buckets of Resistance: Standards and the Effectiveness of Citizen Science

Ottinger, Gwen·2010·Science, Technology, & Human Values

Abstract

In light of arguments that citizen science has the potential to make environmental knowledge and policy more robust and democratic, this article inquires into the factors that shape the ability of citizen science to actually influence scientists and decision makers. Using the case of community-based air toxics monitoring with ‘‘buckets,’’ it argues that citizen science’s effectiveness is significantly influenced by standards and standardized practices. It demonstrates that, on one hand, standards serve a boundary-bridging function that affords bucket monitoring data a crucial measure of legitimacy among experts. On the other hand, standards simultaneously serve a boundary-policing function, allowing experts to dismiss bucket data as irrelevant to the central project of air quality assessment. The article thus calls attention to standard setting as an important site of intervention for citizen science-based efforts to democratize science and policy.

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Metadata

Authors
Ottinger, G.
Venue
Science, Technology, & Human Values
Published
2009-06-12
Volume
35
Issue
2
Pages
244-270
ISSN
  • 0162-2439 (ISSN-L)
  • 1552-8251
OpenAlex
W2004796276
Cited by
470
References
2
FWCI
9.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Buckets of Resistance: Standards and the Effectiveness of Citizen Science. https://app.cochat.ai/papers/10.1177/0162243909337121
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Ottinger, G. (2010). Buckets of Resistance: Standards and the Effectiveness of Citizen Science. Science, Technology, & Human Values. https://doi.org/10.1177/0162243909337121

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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.