Academia.eduAcademia.edu

Pierre Bourdieu and non-habitual decisions

Abstract

Contextualization Pierre Bourdieu (1930-2002) developed his concept of decision-making from the context of reflexive and repetitive choices affecting the daily lives of people. This concept was grounded in ethnographic research of French and Algerian society and the individual experiential and group culture of these societies. As Bourdieu's interest was the daily lives and routines of these peoples, his theory of decision-making involved the ideas of habitus, capital and field resulting in specific and immediate practices. By nature, these decisions are habitual rather than considered and deterministic which are reflective of a complexity of thought for the resulting practice. The individual determination of a non-immediate decision to withdraw from doctoral research programs is the focus of this paper. Such withdrawal decisions can be emotional for the student and have an effect on the doctoral programs of universities that can result in the loss of student, university and society cultural and financial capitals. Abstract: Bourdieu's theory of decision making is based on habitual and immediate decisions which are reflexive and reactive and which rely on dispositions and various forms of capital relative to a particular field. However, there are a number of decisions that are not reactive and immediate but are developed over time because of the enduring nature of the decision to the decision maker. Using empirical research data collected for a doctoral thesis, the factors of this habitual and immediate style of decision-making are explored relative to non-habitual decision-making. This poses the research question of whether the same factors as postulated by Bourdieu can be applied in decisions made over a period of time, specifically postgraduate student withdrawal from doctoral programs. The research is methodologically qualitative with empirical ethnographic data from a conversational style interview, in addition to autoethnographic data.