Mohawk Interruptus offers a compelling look at
indigenous/feminist methodologies. In this post, I will discuss some
methodological strategies presented, and their relation to past readings in
this course.
Many
aspects of Dr. Simpson’s ethnographic methodologies reminded me of other concepts
we have read in this class about feminist and indigenous methodologies. First,
Simpson was very mindful to portray the community as a complex, multifaceted
network with contradictions, diverse perspectives and heterogeneity. She
states, “I refuse to practice the type of ethnography that claims to tell the
whole story and have all the answers. This is not an even playing ground for
interpretation, and I do not pretend otherwise,” (Simpson, p.34). She is not
entering the community as an outsider and searching for a grand pattern or
generalization. Rather, she is moving into and out of the community as a
bicultural insider/outsider, cautious to highlight the complexities,
intersections and contradictions of the group.
Second,
Simpson’s sampling method was very unique. She intentionally sought out
community members who had not been frequently interviewed by other scholars.
From there, she used a snowball sampling method whereby interviewees suggested
other participants. Several of the interview participants were acquaintances of
Simpson prior to the research. In addition to the interviews, she observed community
events and meetings, reviewed newspaper, radio and television media and
reviewed other scholarly works about the community. She was not able to
interview many women for her sample, so she states that women’s voices are
represented through her observation of community events and meetings.
Third,
Simpson was very concerned as a bicultural researcher about the reception of
her work. This reminded me greatly of concerns raised by Lila Abu-Lughod in her
work we read earlier this semester. Simpson wanted to make sure that she could ‘come
home again’ after what she wrote – to ensure that community members would not
be upset by her writing. At the same time, she was conscious of the risks of
outsiders reading the work and wanted to ensure that her work could not be used
against the community to harm them.
Finally,
Simpson explains that she was very careful to respect what research participants
wanted to discuss. If participants did not want to discuss a particular
question, she did not push them. She was cautious to give participants the
right of refusal and to not re-traumatize interviewees. This reminded me
greatly of our class’ earlier discussion about ethnographic refusal. When a
research participant tells you they do not want to discuss something, their
refusal in itself tells you a great deal about the question. It makes sense for
Simpson to honor the power of refusal in her work as a researcher, as she
realizes how important refusal (of nationhood, recognition, etc.) is for her
Mohawk community.
Questions:
How can
researchers balance important concerns for community image (not presenting research
information that could be used against researched communities) with concerns
for scientific rigor?
For example, high rates of mental illness in
LGBTQ communities have been used by some to justify that LGBTQ identity is a mental illness, or is somehow
inherently damaging. However, I feel it is important to share the facts about
high rates of MI. One way some queer researchers balance this is by heavily
contextualizing their statements – e.g. explaining that oppression and
marginalization can be stressors to the body and mind, then presenting facts
about high rates of MI in this context. Audra Simpson (in her methodology
section) states that she did not share some information raised in the
interviews in order to protect the community. How can researchers balance when
to share delicate information (carefully, with context and explanation) and
when it is best to say nothing? I feel acutely aware of the risks of saying too
much – as it seems Simpson is too- but I wonder, what are the risks (to
science, ourselves, our communities) of saying nothing?
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