Rational Reasonableness: Toward a Positive Theory of Public Reason
Bibliographic record
Abstract
Abstract Why is it important for people to agree on and articulate shared reasons for just laws, rather than whatever reasons they personally find compelling? What, if any, practical role does public reason play in liberal democratic politics? We argue that the practical role of public reason can be better appreciated by examining the confluence of normative and positive political theory; the former represented here by liberal social contract theory of John Rawls and others, and the latter by rational choice or game theory. Citizens in a diverse society face a practical as well as a moral problem. How can they have confidence that others will reciprocate their commitment to supporting governing principles that depart from their own ideal conceptions of truth and value in order to be reasonable to all? Citizens face a practical problem of mutual assurance that public reason helps them solve, and solve as a matter of common knowledge. The solution, on both views, requires citizens’ reciprocal commitment to basing law on a system of shared reasons. Both views place public reason at the core of liberal democratic politics in conditions of diversity, and for quite similar reasons. Our argument illustrates the (often) complementary roles of positive and values-based analysis in constitutional design.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".