Questions About the Reasonable Accommodation of Minorities
Bibliographic record
Abstract
The furore following the lecture by the Archbishop of Canterbury in early 2008—where Dr Rowan Williams discussed the prospect of some limited form of Shari’a being introduced into Britain—reminds us that the accommodation of minorities is seldom an uncontroversial or straightforward subject. The UK debate quickly degenerated into a heated and polarized discussion that, with few exceptions, neglected to undertake a constructive analysis of the underlying issues and policy concerns. In this brief essay I hope at least to partly redress that shortcoming by illuminating some key questions that a modern liberal state confronts in legally accommodating the religious and cultural claims of minority groups. The title of this essay refers to the ‘reasonable accommodation of minorities’. I take this to mean accommodation within a modern legal system of the norms and requirements of their culture or religion or of the law associated with their culture or religion or associated elsewhere with a political community of which they and their ancestors were once a part. I shall assume that the accommodations occurs within the framework of a comprehensive system of law in a modern democratic state. Among other things, ‘accommodation’ might include (i) exemptions from generally applicable prohibitions or requirements to permit actions (or omissions) required by minority norms but presently prohibited by general law, or (ii) giving legal effect to transactions (such as certain types of marriage or property transactions) structured and controlled by norms other than those used to structure and control similar transaction in the general system of law. (An example of (ii) might be the introduction and recognition of marriage as defined by Shari’a law within the general framework of British law or Israeli law of the law of Ontario.) I assume that ‘accommodation’ does not include devolution of government, in a sense that would allow a minority community to determine, for example, (iii) the imposition of punishments for crimes that were more severe than, or different in character from, the punishments imposed by the general legal system (amputation for theft, for example). Possibly accommodations of type (i) might have something in common with accommodations of type (iii)—for example, allowing minority groups freedom from constraints on corporal punishment imposed generally on parents. But the idea of devolution and regional autonomy, with different legal systems (what the Archbishop of Canterbury in his Shari’a Lecture called ‘parallel jurisdictions’), is in principle separable from the idea of accommodation within the framework of a single overarching legal system associated—importantly here—with a single state in control of the legitimate means of coercion. So I shall not discuss accommodations of type (iii).
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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 | 0.026 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.062 |
| Scholarly communication | 0.011 | 0.014 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.013 | 0.015 |
| Insufficient payload (model declined to judge) | 0.007 | 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".