Bibliographic record
Abstract
John Rawls’s conception of public reason precludes the enforcement of rules derived from metaphysically controversial doctrines, which seems to exclude adoption of Islamic legal doctrines as legitimate rules of decision. While that is true as a matter of ideal theory, the relationship of public reason to Islamic law in nonideal theory is more complex. Islamic law is directly incorporated in the legal systems of numerous Muslim and non-Muslim jurisdictions throughout the world, or its rules arise incidentally in various cases where Islamic law is not formally part of the legal order. This chapter argues that the idea of public reason can meaningfully guide public reason–minded judges when they are tasked with applying Islamic law in a fashion that vindicates the ideals of public reason. Public reason requires judges to steer a middle course among possible extremes when an issue of Islamic law arises: theological reasoning, extreme deference to historical norms, or principled abstention. Moreover, by adhering to the idea of public reason in these cases, judges can play in important role in strengthening, or bringing about, an overlapping consensus in their respective societies.
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 | 0.009 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.036 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.003 | 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".