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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Homicide Studiesarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Atas dos Congressos BAD
Article . 2002 . Peer-reviewed
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Gender Equality and Gendered Homicides

Authors: Steven F. Messner; Rachel Bridges Whaley;

Gender Equality and Gendered Homicides

Abstract

An important insight from the feminist literature is that a particular form of inequality—gender inequality—is likely to be associated with a distinctive type of violence—gendered violence. Previous research has demonstrated that rates of a quintessential gendered crime, rape, are related to the relative status of men and women. The article extends this earlier work by examining the effects of gender equality on the “gendering” of lethal violence. The authors examine the applicability of two feminist hypotheses, the ameliorative hypothesis and the backlash hypothesis, for lethal violence. Regression analyses for a sample of cities indicate that gender equality is positively related to rates of male killings of females and male killings of other males in southern cities. Conversely, gender equality is negatively associated with male killings of other males in cities located in other regions. These cross-sectional analyses thus offer some support for the backlash hypothesis on gender stratification and violence but also point to the complexity of the structural relationships.

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    121
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
121
Top 1%
Top 10%
Average
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