2015
DOI: 10.1111/area.12219
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The productive and disruptive methodology of doing fieldwork at work

Abstract: This paper argues that the 'place' of work matters methodologically in producing knowledge in and about the field. It draws on research conducted in Mexico with economically disenfranchised labourers and elite workers. Analysing two different sites in comparative context highlights the productive and disruptive function of the workplace. In the first example, interviewees play with constraints, freedoms and productivities of 'work' , disrupting heuristics associated with this category. In the process, there is… Show more

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Cited by 4 publications
(3 citation statements)
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“…What is common across these and other approaches to disruptive methods is the way they expose discursive routines whilst offering an opportunity, as Walker (2015) puts it, to blur formal and informal space. As such they challenge the boundary between 'insider' and 'outsider' and, ultimately, they can work to dissolve that binary.…”
Section: Disruptive Methodsmentioning
confidence: 99%
“…What is common across these and other approaches to disruptive methods is the way they expose discursive routines whilst offering an opportunity, as Walker (2015) puts it, to blur formal and informal space. As such they challenge the boundary between 'insider' and 'outsider' and, ultimately, they can work to dissolve that binary.…”
Section: Disruptive Methodsmentioning
confidence: 99%
“…Location is necessarily tied in with debates in Geography around the ‘field’, an elusive construct, refusing to be contained by rooted notions of place (Gillen ; Walker ). Katz's () well known work on displacement in Sudan and East Harlem illustrates the instability of any notion of a unified field.…”
Section: Sites Of Critical Geographymentioning
confidence: 99%
“…Such “multi‐directional transfers” have become central for knowledge production (Segebart & Wastl‐Walter, ). One such approach is multi‐sited research, which generally studies social phenomena that one single site cannot sufficiently explain (Collins & Huang, ; Falzon, ; Marcus, , ; Walker, ).…”
Section: Introductionmentioning
confidence: 99%