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Record W4399576283 · doi:10.1080/1612197x.2024.2365367

Journeying into postqualitative inquiry: an exploration of the opportunities and tensions for graduate students in sport and exercise psychology

2024· article· en· W4399576283 on OpenAlexaff
Evan Bishop, Martin Camiré

Bibliographic record

VenueInternational Journal of Sport and Exercise Psychology · 2024
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsScholarshipCognitive reframingSociologyCapstoneOpenness to experiencePsychologyPedagogyEngineering ethicsSocial psychologyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Postqualitative inquiry (PQI) has emerged in recent years as a potential-filled approach to inquiry for researchers seeking to move beyond humanist paradigms such as postpositivism and interpretivism. PQI offers researchers exciting opportunities to shift from method-focused scholarship to theory-focused scholarship, amongst other moves. As a graduate student conducting research in sport and exercise psychology (SEP), PQI caught my (i.e., first author) attention and drew me into the dynamic whirlwind of immanence, materiality, and relationality. In the present commentary paper, the purpose is to explore the opportunities and tensions of PQI for SEP graduate students. Specifically, I do so by sharing my experiences engaging with PQI in attempts to help other SEP graduate students navigate their PQI journeys. The paper first situates what PQI is/is not and what it does, followed by some of the opportunities related to engaging in PQI, which include stimulating intellectual openness, working towards social justice, and addressing methodological critiques. Despite these opportunities, some tensions do exist, such as the labours of reading hard, onto-epistemological juggling, and the rush to application. In grappling with these opportunities and tensions, recommendations are offered to SEP graduate students who do decide to journey into PQI. These recommendations consist of reframing the return on investment as rhizomatic, remaining aware of the exclusionary effects of labelling PQI, and understanding the ramifications of a decentred human in SEP research. Concluding thoughts are offered in the form of reflections from both the first and second authors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.424
GPT teacher head0.593
Teacher spread0.169 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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