Relational Ethics of Care in Pandemic Research: Vulnerabilities, Intimacies, and Becoming Together-Apart
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
In this article, we draw upon the ethico-onto-epistemology of feminist new materialisms to reflect on our experiences as feminists doing research on women’s embodied experiences of sport, fitness, and well-being during the COVID-19 pandemic. For qualitative researchers around the world, COVID-19 presented a radically changed research environment. For many, the shift to doing digital interviews required the navigation of unfamiliar technologies and experimenting with different strategies for establishing connections through computer screens. As feminist scholars, working together and with the participants during times of increased stress and uncertainty prompted us to reimagine our ethical research practices. In this article, we engage and extend Rosi Braidotti’s writing on affirmative ethics and offer our personal experiences of grappling with the affective intensities of pandemic while doing ethical feminist research. Through this creative inquiry, we describe supporting one another through research and illustrate how the unique intersections of work, family, health, isolation, and exhaustion were influencing our own and participants’ lives differently. Engaging with Braidotti’s writings on affirmative ethics in the posthuman convergence, we illuminate the ways that our digital-material experiences and the human/nonhuman aspects of the research processes were re-turning our ethical considerations. Researching together, with a focus on creating space for the voices of women who have been disproportionately affected by COVID-19, we found moments of hope and joy as we creatively imagined expansive potentials for feminist research, fostered through caring collaborations.
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 | 0.099 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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