JOURNAL ARTICLE

'An amazing gang of women crooks and blackmailers': women, organized crime, and the 'Forty Elephants' gang in inter-war Britain.

  • Published In: Modern British History, 2024, v. 35, n. 4. P. 435 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Méo, Grace Di 3 of 3

Abstract

This article examines the activities and media portrayals of the Forty Elephants, one of Britain's only known all-female organized crime gangs active during the inter-war period. The gang, led initially by Alice Diamond and later by Lilian Goldstein, specialized in property crimes such as shoplifting, burglary, and smash-and-grab raids, primarily in London but later expanding across the UK with the aid of automobiles. Newspapers of the time sensationalized the gang's exploits, depicting members as attractive, cunning, and fashionably dressed women who concealed their criminality behind a façade of respectability, reflecting broader societal anxieties about the "modern woman," female emancipation, consumerism, and shifting gender roles. Media narratives often portrayed the gang as both glamorous and dangerous, intertwining fears of female criminality with debates on modernity and social order. The article highlights how press coverage both shaped and mirrored contemporary cultural concerns, while also noting that judicial responses to female offenders like Goldstein were influenced by traditional views of femininity and morality.

Additional Information

  • Source:Modern British History. 2024/12, Vol. 35, Issue 4, p435
  • Document Type:Article
  • Subject Area:Social Sciences and Humanities
  • Publication Date:2024
  • ISSN:2976-7016
  • DOI:10.1093/tcbh/hwae048
  • Accession Number:181648757
  • Copyright Statement:Copyright of Modern British History is the property of Oxford University Press / USA 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.)

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