Trans Embodiment, Fitness Wearables and the Queer Pleasures of Datafication
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines entanglements between a fitness wearable device, the data it collects and visualizes, and the body-mind they claim to represent. Drawing on embodied insights from my experience as a transmasculine-identified member of a ‘science-backed, technology-tracked’ fitness experience and employing discourse and visual analysis of marketing materials and conversations on a public subreddit for enthusiasts, the article places ‘misfit bodies’ – rather than the unmarked, universal ‘body’ – at the centre of conversations about fitness wearables and self-tracking data. Employing queer/trans critique enables analysis of forms of difference that mediate and compose all bodies and illuminates the regulatory norms and technologies through which they are produced. Throughout, the article foregrounds how selves, bodies, data, and technologies are entangled in mutual and open-ended becomings that exceed the assumed transformation of wearable users into neoliberal healthist subjects.
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.
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 it