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The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Don’t Mind Meat? The Denial of Mind to Animals Used for Human Consumption

Bastian, Brock, Loughnan, Steve, Haslam, Nick, Radke, Helena R. M.·2012·Personality and Social Psychology Bulletin
DOI 10.1177/0146167211424291
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Abstract

Many people like eating meat, but most are reluctant to harm things that have minds. The current three studies show that this dissonance motivates people to deny minds to animals. Study 1 demonstrates that animals considered appropriate for human consumption are ascribed diminished mental capacities. Study 2 shows that meat eaters are motivated to deny minds to food animals when they are reminded of the link between meat and animal suffering. Finally, Study 3 provides direct support for our dissonance hypothesis, showing that expectations regarding the immediate consumption of meat increase mind denial. Moreover, this mind denial in turn reduces negative affect associated with dissonance. The findings highlight the role of dissonance reduction in facilitating the practice of meat eating and protecting cultural commitments.

Overview

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Crossref · 10.1177/0146167211424291

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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Citations

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Flagged first, then by citations

Research works printed but not linked: 46

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Metadata

Authors
Bastian, B., Loughnan, S., Haslam, N., & Radke, H. R. M.
Affiliations
  • The University of Queensland, Queensland, Australia
  • University of Kent, Kent, UK
  • University of Melbourne, Melbourne, Australia
Venue
Personality and Social Psychology Bulletin
Publisher
SAGE Publications
Published
2011-10-06
Volume
38
Issue
2
Pages
247-256
ISSN
  • 0146-1672
  • 1552-7433
DOI
10.1177/0146167211424291
Cited by
411
References
9
Language
en
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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