Aesthetics of friendship during the COVID-19 pandemic: An exploratory analytic study
Bibliographic record
Abstract
During the covid-19 pandemic, the social and health crisis - which already configured the reality of the Brazilian population - worsened and deepened their precarious life conditions. This study seeks to analyze the conditions of possibility for nurses to establish their care practices in the context of the covid-19 pandemic, articulating with some issues brought up by the ethics of care. To this end, inspired by Michel Foucault's genealogical method, as well as supported by Feminist and Gender Studies, we approach the power relations in their interface with the role of nursing in contemporary society. We then take the reports that 59 Primary Health Care nurses gave to a national survey entitled Nursing Practices in the Context of Primary Health Care: A National Study of Mixed Methods, which investigated the overload and precariousness of the work of nurses in Primary Health Care, during the covid-19 pandemic, to articulate with a brief genealogy of health care. Thus, we reflect about care practices from a perspective situated by gender and race issues, as a way of knowing, creating and recreating care practices ethically oriented by an aesthetic of friendship, as Foucault suggested in his studies on care of the self for practices of freedom.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.014 | 0.016 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".