Public discourse and wilful incommensurability: a case for attentive free speech
Bibliographic record
Abstract
Many thinkers lament the decline of liberal democracy. Some argue that, to rejuvenate it, we must think big. Thinking big involves generating new ideas about how to achieve an unprecedented level of social transformation aimed at cultivating solidarity, empowering citizen efficacy, and promoting the common good. We propose that fundamental to such a transformation must be a radical change in how people speak to one another. To this end, the primary objective of this paper is to offer a framework for understanding how speech currently erodes democratic engagement. The central idea is that much of speech today both reflects and perpetuatesa culture of wilful incommensurability. The core features of this culture aretotalizing safetyism,expressive safetyism,dismissive intransigence, andpolarized alienation, all of which have been worsened by the current trajectory of social media. The result is that people are increasingly prone to engage indegraded free speech, which is characterized by a pervasive aversion to reach out, identify points of unity, benefit from diverse perspectives, and discover truth in all its potential complexity. In view of this diagnosis and the response of those who advocate for freedom of speech, a second objective of this paper is to introduce the concept ofattentive free speech. Attentive free speech has similarities with civil discourse but is specifically characterized by discernment and thoughtfulness and is imbued with key dispositions such as courage, reverence, and love. We end by inviting future research into how such speech can promote the social and spiritual health of the public sphere and freedom itself at a practical level.
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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 | 0.017 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.015 | 0.109 |
| Scholarly communication | 0.018 | 0.018 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".