Gendering starvation: Women's experiences of the Kazakh famine, 1930–1933.

  • Published In: Gender & History, 2026, v. 38, n. 1. P. 240 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Kaşıkçı, Mehmet Volkan 3 of 3

Abstract

Based on archival sources and previously underexplored famine testimonies, this article provides the first study of gender and women's experiences during the Kazakh famine. First, I provide a discussion of motherhood in this time of catastrophe. Traditional parental norms collapsed in a similar way to other catastrophes across the world. The second part of the article offers a discussion of who survived the famine. I argue that many parents preferred saving their sons at the expense of their daughters and consequently more boys survived the famine than girls. Son preference manifested itself strongly in the catastrophic years of famine as saving a man's lineage was deemed to be essential. The last part discusses sexual violence and sexual barter. I show that rape and prostitution were relatively less widespread in Kazakhstan, while sexual violence and barter frequently took a different form. Instead of directly raping women, abusers usually forced women to marry them as second wives. Unlike many examples in world history, sexual barter usually took place not between women and men, but between abuser men and male relatives of female victims. Son preference and the sale of women are reflections of how strongly patriarchal the nomadic society was. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Gender & History. 2026/03, Vol. 38, Issue 1, p240
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2026
  • ISSN:0953-5233
  • DOI:10.1111/1468-0424.12807
  • Accession Number:192598125
  • Copyright Statement:Copyright of Gender & History is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.