Sliding to Reverse Ableism: An Ethnographic Exploration of (Dis)ability in Sitting Volleyball
Bibliographic record
Abstract
This paper illuminates the potential of diversely embodied sporting cultures to challenge ableism, the ideology of ability. Ableism constructs the able body as conditional to a life worth living, thus devaluing all those perceived as ‘dis’-abled. This hegemonic ideology develops into a ‘logic of practice’ through a cultural appropriation of body’s lived complexity, by reducing it to symbolic dichotomies (able/disabled). The path to challenge ableism is then to restore body’s complexity, by turning attention toward its lived embodied existence. Drawing upon an ethnographic study of a sitting volleyball (SV) community, we condense multiple data sources into a sensuous creative non-fiction vignette to translate the physical embodied culture of the sport. In exploring SV physicality through the ethnographic vignette, it is our intention to activate the readers’ own embodiment when interpreting and co-creating this text. By placing the reader in the lived reality of playing SV, we hope that the potential of this physical culture to destabilize engrained ableist premises becomes apparent. Ultimately, our goal is to promote a shift from ableism towards an appreciation and celebration of differently able bodies. This cultural shift is crucial for long lasting social empowerment for people with disabilities.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.018 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".