Is There a Need for Transcendental Arguments in Discourse Ethics?
Bibliographic record
Abstract
Abstract In this essay, James Scott Johnston examines Jürgen Habermas's transcendental justification of his discourse theory of morality. According to Johnston, the application of Habermas's theory to educational issues often assumes that this justification is a cogent one. However, if the theory is to provide reasoned and appropriate guidance for educators, the justification of discourse ethics requires closer examination. Johnston argues that Habermas's so‐called “weak” transcendental approach is in fact unsustainable because it fails to reconcile two conflicting schools of philosophical thought: Kant's transcendental idealism and George Herbert Mead's social pragmatism. Johnston concludes that a more plausible justification of the discourse ethical project can be achieved by rejecting Habermas's Kantianism and appealing solely to Mead's social pragmatic conception of rationality.
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How this classification was reachedexpand
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) | 0.008 | 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 teacher head, 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".