The Open UniversitySkip to content

Taking stock: a visual analysis of gendered ageing

Pritchard, Katrina and Whiting, Rebecca (2015). Taking stock: a visual analysis of gendered ageing. Gender, Work and Organization, 22(5) pp. 510–528.

Full text available as:
PDF (Accepted Manuscript) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (600kB) | Preview
DOI (Digital Object Identifier) Link:
Google Scholar: Look up in Google Scholar


While various forms of imagery have been highlighted as central to processes of social construction, the potential of visual methodologies to generate insight into gendered ageing has yet to be fully exploited. We build on the developing body of visual analyses within work and organization studies to suggest how understandings of gendered ageing are impacted by our consumption of work-related images, empirically explored here using stock photographs. We examine images of men and women of various ages to unpack the visual construction of gendered ageing within online news media, a critical context within the new economy. Through our own analysis, and our review of participants’ responses to three images, we contribute to the unpacking of culturally produced age-sensitive subject positions through examination of the interrelationships between gender, age and employment. These combined methodologies offer new insights into ways in which understandings of gendered ageing are both (visually) constructed and interpreted.

Item Type: Journal Item
Copyright Holders: 2015 John Wiley
ISSN: 0968-6673
Project Funding Details:
Funded Project NameProject IDFunding Body
Age at work1103Richard Benjamin Trust
Academic Unit/School: Faculty of Business and Law (FBL) > Business
Faculty of Business and Law (FBL)
Item ID: 42199
Depositing User: Katrina Pritchard
Date Deposited: 26 Feb 2015 12:21
Last Modified: 07 Dec 2018 21:56
Share this page:


Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU