A tale of embodied domination, queer feelings, and decolonial disruption in sport
Bibliographic record
Abstract
Embodiment of patriarchy and ethnicity is a controlling device that can prime an athlete for success within a sport model that reinforces domination. In this paper, we offer a piece of auto-bio-ethnographic prose that covers two aspects of the first authors' subjectivity (ethnicity and gender) in a colonial upbringing. Becoming aware of unfairness and oppression and taking action to change one's circumstances is a demanding process without a definitive end or realistic goal of stability. As such, we advocate for reflexivity, ‘ conscientização’ (critical thinking; Freire, 2005 ) to pursue (self-)consciousness as the first step in a process of enabling social justice and resistance in and beyond sport. Moreover, we argue that conscientização is a queering process, as one comes to recognize (resistance to) dominant scripts, and the messiness of challenging disciplinary technologies and knowledges. Using an intersectional queer praxis in the creation of meaningful narratives about personal histories and sport, we acknowledge the challenges of speaking up and embrace a new model of research and writing, auto-bio-ethnographic storytelling, to deal with the complexity of multifaceted domination, awareness, and resistance. The narrative in this paper shows this process. We conclude the article with an invitation to embrace ‘queer feelings’ ( Ahmed, 2004 ) and draw attention to embodiment in sport and social justice, with an ultimate goal of decolonial disruption.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.062 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".