This paper presents a case-study demonstrating how traditional ethnographic fieldwork may benefit from analysis using computer simulation modeling tools. Paul Willis’ classic ethnography, “Learning to Labor” is represented using the system-modeling software Stella, and used experimentally to test several aspects of the worker-business relationship. I include a description of the models, the rationale for using systems modeling instead of agent-based modeling, and results from two sets of simulation experiments. I describe how the model represents ethnographic data, how it was used experimentally, and implications of the research as a critique of “Learning to Labor.” I close by suggesting that the semantic conception of theories (McKelvey 1999) can be an appropriate model of scientific investigation to link social theory, ethnographic fieldwork, and simulation modeling.
[1]
Jason Brownlee,et al.
Complex adaptive systems
,
2007
.
[2]
Cathy A Small,et al.
A Computer Simulation Approach to Ethnographic Analysis
,
1997
.
[3]
J. Forrester.
Principles of systems : text and workbook, chapters 1 through 10
,
1968
.
[4]
G. Marcus.
Ethnography through Thick and Thin
,
2021
.
[5]
Stephen Lansing,et al.
Complex Adaptive Systems
,
2003
.
[6]
P. Willis.
Learning to Labor: How Working-Class Kids Get Working-Class Jobs
,
1976
.
[7]
Bill McKelvey,et al.
Complexity Theory in Organization Science: Seizing the Promise or Becoming a Fad?
,
1999
.
[8]
G. Nigel Gilbert,et al.
Simulation for the social scientist
,
1999
.