Islamic Norms, Common Law, and Legal Reasoning: Muslim Personal Law and the Economic Consequences of Divorce in India
Bibliographic record
Abstract
Two major judgments of the Indian Supreme Court that awarded Muslim women alimony had very different consequences: Shah Bano (1985) evoked extensive conservative Muslim protest that led to legislation meant to limit alimony among Muslims, while Danial Latifi (2001 ) faced no overt opposition and was not overturned. These consequences were related to the sources and modes of reasoning used. Shah Bano independently interpreted Qurʾanic verses, suggested that commonly applicable laws may override religious law provisions, and called for uniform family laws. Danial Latifi relied solely on statutes of Indian Muslim law and Islamic norms. It thus followed the Indian state’s usual approach to personal law, which is sensitive to public preference that family life should be regulated according to religious and other cultural norms. However, public opinion provided support to change Muslim law earlier than the 1970s. More extensive changes could be introduced over the next decade in Muslim law based on Islamic norms and Muslim opinion.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.006 |
| 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; both teacher heads agree on what is shown here.
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".