Virus interruptus: An Arendtian exploration of political world‐building in pandemic times
Bibliographic record
Abstract
Building upon a series of blog posts and conversations, two feminist scholars explore how political community, trust, responsibility and solidarity are affected by the COVID-19 pandemic. We explore the ways in which we can engage in political world-building during pandemic times through the work of Hannah Arendt. Following Arendt's notion of the world as the space for human togetherness, we ask: how can we respond to COVID-19's interruptions to the familiarity of daily life and our relationship to public space? By extending relational accounts of public health and organizational ethics, we critique a narrow view of solidarity that focuses on individual compliance with public health directives. Instead, we argue that solidarity involves addressing structural inequities, both within public health and our wider community. Finally, we suggest possibilities for political world-building by considering how new forms of human togetherness might emerge as we forge a collective 'new normal'.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.056 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".