Loughborough University
Browse

File(s) under permanent embargo

Reason: This item is currently closed access.

Social constructionism in the study of career: accessing the parts that other approaches can not reach

journal contribution
posted on 2009-06-23, 13:07 authored by Laurie Cohen, Joanne Duberley, Mary Mallon
In this article we consider the contribution of a social constructionist perspective to our understandings of career. We examine this approach in relation to two studies: a study of women's career transition from organizational employment to portfolio work, and a study of the careers of research scientists. Within the career literature a dichotomy has emerged between what are seen as “traditional” and “new” careers. On the face of it these studies seem to neatly illustrate this dichotomy. However, when examined from a social constructionist perspective, questions are raised about the viability of this binarism. In this article we argue this approach enables us to transcend dualisms which have prevailed in career theory, facilitates analyses of the relationship between careers and the social contexts in which they are embedded, and illuminates issues of power and ideology which are often eclipsed by more positivistic research approaches.

History

School

  • Business and Economics

Department

  • Business

Citation

COHEN, L., DUBERLEY, J. and MALLON, M., 2004. Social constructionism in the study of career: accessing the parts that other approaches can not reach. Journal of Vocational Behaviour, 64 (3), pp. 407-422

Publisher

© Elsevier

Version

  • NA (Not Applicable or Unknown)

Publication date

2004

Notes

This article is Restricted Access. It was published in the serial, Journal of Vocational Behaviour [© Elsevier]. The definitive version is available at: http://www.elsevier.com/wps/find/journaldescription.cws_home/622908/description#description

ISSN

0001-8791

Language

  • en

Usage metrics

    Loughborough Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC