Beyond Objective and Subjective: Assessing the Legitimacy of Religious Claims to Accommodation
Bibliographic record
Abstract
There are at present two ways in which to evaluate religiously-based claims to accommodation in the legal context. The first, objective approach holds that these claims should be grounded in « facts of the matter » about the religions in question. The second, subjective approach, is grounded in an appreciation by the courts of the sincerity of the claimant. The first approach has the advantage of accounting for the difference between two constitutional principles : freedom of conscience on the one hand, and freedom of religion on the other. It has the disadvantage of transforming courts into expert bodies on religious matters. The subjective approach has a harder time accounting for the distinction. It also risks giving rise to a proliferation of claims. A plausible synthesis between the two approaches requires that we uncover the normative grounds justifying the granting by liberal democracies of religious accommodation. An analogous argument to that put forward by Kymlicka in the case of minority nations identifies the interest that citizens have in being able to exercise their « cultural agency » : the creative reappropriation and reinterpretation of the rituals, practices and norms of religious traditions.
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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 | 0.049 | 0.293 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.014 | 0.006 |
| Science and technology studies | 0.003 | 0.038 |
| Scholarly communication | 0.011 | 0.016 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".