Reconceptualizing Women's Wellbeing During the Pandemic: Sport, Fitness and More-Than-Human Connection
Bibliographic record
Abstract
This paper explores the gendered, disruptive effects and affective intensities of COVID-19 and the ways that women working in the sport and fitness sector were prompted to establish more-than-human connection through technologies, the environment, and objects. Bringing together theoretical and embodied insights from object interviews with 17 women sport and fitness professionals (i.e., athletes, coaches, instructors) in Aotearoa New Zealand, this paper advances a relational understanding of the multiple human and nonhuman forces that shape and transform women's wellbeing during pandemic. Drawing upon particular feminist materialisms (i.e., Barad, Braidotti, Bennett), we reconceptualize wellbeing to move beyond biomedical formulations of health or illness. Through our analysis and discussion, we trace embodied ways of knowing that produce wellbeing as a more-than-human entanglement, a gendered phenomenon that can be understood as an ongoing negotiation of affective, material, cultural, technological and environmental forces during a period of disruption and uncertainty.
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.047 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".