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Record W4414453291 · doi:10.1080/2159676x.2025.2563285

Sculpting Pride: freeing the inner auntie in racialised queer qualitative sport research

2025· article· en· W4414453291 on OpenAlexafffund
Daniel Uy

Bibliographic record

VenueQualitative Research in Sport Exercise and Health · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of Toronto
FundersYork University
KeywordsQueerQualitative researchNarrativeEthnographyReflexivitySubjectivity

Abstract

fetched live from OpenAlex

This paper is the retelling of a qualitative research journey that began with firm intentions and desires, but got lost and mired by the academic pressures and forgetting who the research was truly by and for: the racialised queer and gay men who are the heart of it. While they used their gym time to prepare their bodies for Pride, I expose researcher mess and disorientation. Through this, my deeper idea of an inner Auntie, a loving but firm voice of reason that aids racialised queer men to be the best versions of themselves, will be arising from the process of doing qualitative research. This phrasing then decentres Whiteness, distances itself from homonormativity, and acknowledges racialised queer culture and heritage. This new framing of inner Auntie also becomes a reflexive validation guide in doing qualitative research. Ultimately, the participants saw me through the disorientation, helped me reach a turning point, and oriented me towards my desires in how to be a better researcher. This is an introduction to other physical cultural researchers as an innovative way to conduct qualitative research in sport. It is also an offering of gratitude to the people I met in this research. May their lives continue to inspire others.

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)0.183
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.182
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1830.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.006
Science and technology studies0.0030.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
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 head0.365
GPT teacher head0.619
Teacher spread0.254 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations1
Published2025
Admission routes2
Has abstractyes

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