Religious Literacy in Law: Anti-Muslim Initiatives in Quebec, the United States, and India
Bibliographic record
Abstract
This inquiry examines how religious illiteracy amongst politicians, legislators, lawyers, and judges could lead to discriminatory legislations and increased persecution against religious minorities. We look at laws and legislations in three contexts, Quebec, the USA, and India, where anti-religious sentiments and violence are predominantly directed against Muslims. More specifically, we examine Quebec’s legal attempts, in the form of exclusive laïcité, to regulate religion and religious signs within the province; the recent ruling about converting the Babri mosque in India into a Hindu Temple; and anti-Shariah laws in the United States. Taken together, these justifications for anti-Muslim bills perpetuated illiteracy about both religion and the legal systems, leading the conditions for discrimination against religious minorities. We conclude that religious illiteracy, more specifically on the level of judiciaries and legislative bodies, presents a pressing threat to the safety and wellbeing of religious minorities, Muslims in particular, around the world.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".