Bibliographic record
Abstract
This paper presents a substantivist construal of discourse ethics, which claims that we should see our engagement in public deliberation as expressing and elaborating a substantive commitment to basic moral ideas of solidarity, equality, and freedom. This view is different from Habermas’s standard formalist defence of discourse ethics, which attempts to derive the principle of discursive moral justification from primarily non‐moral presuppositions of rational argumentation as such. After explicating the difference between the substantivist and the formalist construal, I defend the former by showing that it is not only intuitively compelling, but also particularly well equipped for addressing four important objections recently levelled against discourse ethics and its political applications (Rawls’s concern that it lacks substantive guidelines, Gunnarsson’s challenge that it has not been proven to be superior to alternative moral conceptions such as utilitarianism, Scanlon’s complaint that it lacks an account of moral motivation, and Galston’s and Young’s worries that it could lead to political practices of cultural imposition). I conclude by pointing out some consequences of the previous discussion for the future of Critical Theory.
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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 | 0.038 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.004 | 0.052 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.008 | 0.006 |
| 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".