Bibliographic record
Abstract
In this article I argue that the conception of discourse ethics that Jürgen Habermas advances in his seminar paper, ‘Discourse Ethics: Notes on a Program of Philosophical Justification’, is subject to significant revision in later work. The central difference has to do with the status of the universalization principle and its relationship to the ‘rightness’ validity claim. The earlier view is structured by a desire to provide a weak-transcendental defense of the universalization principle. The later revision, however, essentially undercuts the basis of this argument, because it severs the conception of practical discourse from the analysis of speech acts. As a way of responding to the difficulties this creates, I propose a ‘reboot’ of the discourse ethics program. This involves reverting to the earlier, more Durkheimian and less Kantian, formulation of the theory. The result is a program that is no longer encumbered by sterile debates about the correct formulation of the universalization principle, but can plausibly claim to provide insight into the role that language-dependence plays in the development and entrenchment of increasingly pro-social behavior patterns within our institutions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.001 |
| Science and technology studies | 0.011 | 0.078 |
| Scholarly communication | 0.017 | 0.028 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.014 | 0.021 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".