‘I want to change minds and destroy stereotypes’: Wheelchair motocross rider portrayals on Instagram
Bibliographic record
Abstract
This study explores how wheelchair motocross (WCMX) riders represent themselves on the popular social media platform, Instagram. Situating this work in critical disability studies and using the method of interviews and social media post-election with 10 WCMX riders, this study highlights how WCMX riders use self-representations on Instagram to showcase their sporting identities, and at once, frame disability in affirmative ways that challenge ableism. However, findings also illuminate how some WCMX riders felt pressure to present themselves in inspiring manners. These pressures entrenched in the political economies of Instagram, as I argue, may not only affect the mental health and wellbeing of the WCMX riders, but how audiences come to understand disability. These findings highlight the complexities of self-representations on Instagram and draw attention to how social media can be a potential site of social change and a site where certain understandings of disability are (re)produced.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".