Religious Neutrality, Toleration and Recognition in Moderate Secular States: The Case of Denmark1
Bibliographic record
Abstract
This paper provides a theoretical discussion with point of departure in the case of Denmark of some of the theoretical issues concerning the relation liberal states may have to religion in general and religious minorities in particular. Liberal political philosophy has long taken for granted that liberal states have to be religiously neutral. The paper asks what a liberal state is with respect to religion and religious minorities if it is not a strictly religiously neutral state with full separation of church and state and of religion and politics. To illuminate this question, the paper investigates a particular case of an arguably reasonably liberal state, namely the Danish state, which is used as a particular illustration of the more general phenomenon of “moderately secular” states, and considers how one might understand its relations to religion. The paper then considers the applicability to this case of three theoretical concepts drawn from liberal political philosophy, namely neutrality, toleration and recognition, while simultaneously using the case to suggest ways in which standard understandings of these concepts may be problematic and have to be refined.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.012 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".