Bibliographic record
Abstract
ABSTRACT In banning religious symbols for civil servants in a position of authority, Québec's laicity law disproportionately burdens religious minorities. Nevertheless, politicians seem to somehow avoid this problem, and the law is largely supported by the population. This insensitivity to religious discrimination calls for an explanation. I argue that part of the explanation for this unequal treatment of religion in secular society lies in active religious ignorance. Drawing a parallel from how white ignorance functions to protect racial inequalities, I argue that a kind of active ignorance in the religious domain – which I name post‐Christendom ignorance – makes it difficult to comprehend alternative understandings of religious experience and allows the majority to deny its religious positionality. Applying this framework, I criticize Québec's laicity law for wrongfully relying on inadequate hermeneutical resources about religion. Further, the failure to see that targeting only religious symbols worn by individuals is discriminatory is the result of the epistemic vice of closed‐mindedness. This article aims to show how religious persons in secular society can suffer hermeneutical wrongs because of their religious identity, and it aims to show that this injustice in the epistemic domain can help explain the unequal treatment of religious minorities while providing grounds for criticism.
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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 | 0.006 | 0.018 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".