Dialogical Breakdown and Covid-19: Solidarity and Disagreement in a Shared World
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
This article considers the limitations, but also the insights, of Gadamerian hermeneutics for understanding and responding to the crisis precipitated by the Covid-19 pandemic. Our point of departure is the experience of deep disagreements amid the pandemic, and our primary example is ongoing debates in the United States about wearing masks. We argue that, during this dire situation, interpersonal mutual understanding is insufficient for resolving such bitter disputes. Rather, following Gadamer’s account of our dialogical experience with an artwork, we suggest that our encounter with the virus gives rise to new ways of seeing and experiencing ourselves and the world. Further, we draw on Gadamer’s account of the fusion of horizons to show how even competing perspectives on wearing masks arise within a shared space of meaning created by the virus. These insights provide hope for an improved model of political dialogue in the world of Covid-19.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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