uOttawa.ca
Moving beyond conventional qualitative�deployments of method, methodology, and data
Martin Camiré
uOttawa.ca
���Plan��
�1. What are humanism and posthumanism?�
Humanism
Product of the Age of Enlightenment:
Offers a narrow rendition of life that severely overcodes the world’s varied histories.
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Humanist Education Project
Sustains neoliberal imperatives of:
Prepare humans for the demands of a very competitive and mostly unjust world
Goal = Upward Social Mobility
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Humanist Education Project
Educacene:
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Humanist Education Project
(Beier & Wallin, 2020)
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Posthumanism
The world is not static
Existence is relational
Interaction Intra-action
Intervention Intravention
Interconnection Intraconnection
Starts with
a separation
Always already
in entanglement
Agency is not the sole property of humans
���Posthumanism��
�2. The current state of qualitative research in sport and exercise psychology�
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Qualitative Research in SEP
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Qualitative Research in SEP 2010-2017
Individual interviews = 85%
McGannon et al. (2021)
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Qualitative Research in SEP 2010-2017
No declared ontology/epistemology = 61%
McGannon et al. (2021)
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Stated Philosophical Position = 29%
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Almost all qualitative research (in SEP) has been conducted through
interviews, with little details offered on philosophical orientation.
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A Call to Take Ontology Seriously in Qualitative Training
“more [must] be done to contribute to its
pedagogical culture, particularly concerning…
innovative instructional methods” (p. 1).
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Humanist Qualitative Research
Preformed Methodologies (e.g., Grounded Theory, Ethnography, Case Studies)
Why?
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Difference by “Degree”
Preformed
Methodologies
Organise the world according to its prescribed formations
Processes of recognizing, fragmenting, and categorizing
Thematic Analysis
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Difference by “Kind”
Generate new
concepts that open
alternative horizons
for thinking and theorizing
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3. Eight Tips for Infusing Posthumanist Thinking in Qualitative Training
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1. Deconstruct the Human Subject
Abandon assumptions of the human subject as:
Reality is an infinite relational network
“I” becomes “iii” (I think link therefore I am)
Humans are biological,
political, philosophical, and
technological composites of fluid
identities and distributive agency.
(Abblitt, 2019; Murris, 2022)
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2. (Re)envision:
Learning
Human learners:
Lifelong Learning
Humans must continually engage in the knowledge economy to adapt to its competitive imperatives.
Knowledge
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Learning ↔ Becoming
Learning retains a propensity toward static accumulation of content (i.e., knowledge, skills)
Becoming embraces relationality and change as hallmarks of existence
When process (becoming) supersedes product, we can better account for how life is dynamic and performative
Knowledge: From Product to Performance
Knowledge is not a stable entity encased in a human cognitive structure.
Knowledge is not a product to be moved from one person/context to another (i.e., transfer).
Knowledge becomes a performance (i.e., knowledging)
Knowledging is a constantly evolving process of becoming attentive to the world’s incessant reconfiguring
If knowledge is no longer a product, the “gap-filling mindset” must be abandoned
3. Start Inquiry with Concepts
(Some) of the concepts that shape the posthumanist terrain:
Agential Cut
Assemblage
Diffraction
Intra-action
Ethico-onto-epistemology
Thick now
Spacetimemattering
Rhizome
Worlding
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4. Readthinkwrite
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4. Readthinkwrite
We must rethink the “comprehensive” in comprehensive exams
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5. Reconsider our Reliance on Interviewing
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6. Think Beyond the Human
In the social sciences, we should:
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�7. Reimagine the Role of the Supervisor/Teacher�
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�8. Make Kin�
We are inseparable from other life forms, even if our anthropocentric categories trick us into thinking otherwise.
We must connect with a “we” inclusive of all living/nonliving matter
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Social Justice Multispecies Justice
�����
Consider in our inquiries:
Anthropocentric aesthetics we impose on nature with our sports facilities
Carbon footprint and landfill accumulation resulting from sport participation
All entities on earth are intraconnected. When we damage nature and animals, we are inevitably damaging ourselves.
4. The Problem of Data
https://www.uottawa.ca/research-innovation/data-literacy
�What data are not�
Not objective, impartial, or transparent accounts of reality
Data do not preexist researchers’ interpretive engagement
We make data
Data are made rather than found, assembled rather than collected, and dynamic rather than static.
We make data in/through intra-acting bodies (i.e., researcher-participant) and technologies (e.g., digital recorders, cameras, computers).
We assemble data
We must conceptualize data not as sets, but as assemblages.
Data assemblages comprise researchers, participants, material objects, and cultural discourses all intricately and mutually entangled.
We become data
“Data are less like pebbles researchers gather on a beach and more like the beach itself—constantly shifting sands subject to an ever-changing landscape of rolling waves, sun, wind, and human and nonhuman activity. Data engagement situates all data as dynamic, as always already becoming, and this dynamic state both reflects and produces agentic data. Data remain always in motion and in relation; they brim with possibilities for ongoing engagement”. (Ellingson & Sotirin, 2020, 821)
Data do not leave researchers untouched, the porous “iii” ontologically shifts
Our responsibility with data
Our responsibility with data
Researcher Positionality
“I myself am an assemblage, constantly navigating the assemblages that entangle me. The world does not revolve around me. I am not apart from my data or the world. I am assemblage, in the middle of vast connective assemblages, trying to make sense of the constructing, deconstructing, and reconstructing entanglements”.
(Nordstrom, 2015)
Conventional humanist term “researcher” is laden with the binary insider/outsider.
In postqualitative inquiry, the inquirer making/assembling data sits in the middle.
Types of Data
Glow
Dream Data
Data that refuse closure, keep interpretation at play, even in the unconscious.
Response Data
Participants, peers, audience members at conferences, social media comments on posts.
Theory as Data
Thinking with and (re)reading theory is generative/constitutive to assembling data.
To creative more just worlds, we must assume methodological and epistemological risks
What does that look like?
“what we need today is an education that
does not know where it is headed. This is
not its failure, but its virtue” (Snaza, 2013, p. 49)
Thank You!���