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Cited by 273

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

‘No Personal Motive?’ Volunteers, Biodiversity, and the False Dichotomies of Participation

Lawrence, Anna·2006·Ethics, Place & Environment

Abstract

Analyses of participation usually assume a dichotomy between ‘instrumental’ and ‘transformative’ approaches. However, this study of voluntary biological monitoring experiences and outcomes finds that they cannot be fitted into such a dichotomy. They can enhance the information base for environmental management; change participants through education about scientific practice and ecological change; lead to changes in life direction or group organisation; and influence decision-makers. Personal transformation can take place within a conventionally top-down context. Conversely, grassroots data collection can shore up the status quo and protect local interests. Partnerships between actors can provide distinct but complementary and mutually rewarding outcomes. Power is not located in a data-consuming centre, and data are not meaningless materials that leave the collector unmoved. A more dynamic model of human-nature relations is presented which connects humans and information in the participatory process.

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Metadata

Authors
Lawrence, A.
Venue
Ethics, Place & Environment
Published
2006-10
Volume
9
Issue
3
Pages
279-298
ISSN
  • 1366-879X (ISSN-L)
  • 1469-6703
OpenAlex
W2068254817
Cited by
273
References
36
FWCI
12.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: ‘No Personal Motive?’ Volunteers, Biodiversity, and the False Dichotomies of Participation. https://app.cochat.ai/papers/10.1080/13668790600893319
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Lawrence, A. (2006). ‘No Personal Motive?’ Volunteers, Biodiversity, and the False Dichotomies of Participation. Ethics, Place & Environment. https://doi.org/10.1080/13668790600893319

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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.