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Cited by 230

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Women and Children at Risk: A Feminist Perspective on Child Abuse

Stark, Evan, Flitcraft, Anne H.·1988·International Journal of Health Services

Abstract

Viewing child abuse through the prism of woman battering reveals that both problems originate in conflicts over gender identity and male authority. Data indicate that men, not women, typically commit serious child abuse. A study of the mothers of child abuse victims shows that battering is the most common context for child abuse, that the battering male is the typical child abuser, that the battered mothers have no distinctive pathology in their backgrounds, and that clinicians respond punitively to the battered mothers. The child abuse establishment assigns responsibility for abuse to mothers regardless of who assaults the child, and responds punitively to women, withholding vital resources and often removing the child to foster care, if women are battered or otherwise fail to meet expectations of “good mothering.” The combination of male control, misleading psychological knowledge about women's propensity for “bonding,” and sanctions used to enforce gender stereotypes of motherhood combine to increase the entrapment and inequality from which battering and child abuse originate, a process termed “patriarchal mothering.” The best way to prevent child abuse is through “female empowerment.”

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Metadata

Authors
Stark, E., & Flitcraft, A. H.
Venue
International Journal of Health Services
Published
1988-01
Volume
18
Issue
1
Pages
97-118
ISSN
  • 0020-7314 (ISSN-L)
  • 1541-4469
OpenAlex
W1997380963
Cited by
230
References
0
FWCI
3.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Women and Children at Risk: A Feminist Perspective on Child Abuse. https://app.cochat.ai/papers/10.2190/3k8f-kdwd-qyxk-2ax5
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Stark, E., & Flitcraft, A. H. (1988). Women and Children at Risk: A Feminist Perspective on Child Abuse. International Journal of Health Services. https://doi.org/10.2190/3k8f-kdwd-qyxk-2ax5

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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.