Physical leisure for any-body: imagining inclusive possibilities through body mapping
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
For decades, the fitness industry has been critiqued for valorizing narrow white-able-lean centric body ideals – against which all bodies are evaluated or deemed nonnormative. Our Canadian-based study resists these standards by centring nonnormative embodiments. Given the centrality of the body in our research, we used body mapping, an arts-based method, to elicit participant stories that visually reflected their experiences and meanings of physical leisure, defined broadly as physical activities done during leisure time. Six participants who self-described as queer, fat, disabled, trans, and/or neurodivergent each completed online body mapping workshops and created body maps. Narrative themes presented in our findings are titled, “Yes, and … ” (embracing the coexistence of opposing truths); “radical defiance” (offering alternative difference-affirming ways to reclaim bodies and movement); and “reclaiming joy” (participants’ demand for more joy in exercise). Through body mapping, participants visually articulated their experiences, rooting self-trust in the gut and their embodied realities. We also explore the possibilities and limits of body mapping in understanding how nonnormative bodies can imagine inclusion in physical leisure, emphasizing the need for intentional, accessible approaches. Our study highlights the potential of visual methods in reimagining and re-mapping bodies, particularly those marked by social and other demarcations of difference.
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 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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