Regulating Family Law in Federations: The Impact of De/Centralization, Religion, and International Treaties on Abortion and Child Marriage Policies
Bibliographic record
Abstract
Abstract There has been little study of the effects of federalism on the regulation and reform of family law (FL). This article addresses that gap by identifying variables that affect two aspects of FL: child marriage and abortion. The underlying research question is what conditions make it easier to reform discriminatory FL in one federation compared to another. FL involves multiple rules governing marriage, divorce, custody, adoption, and often inheritance and family property use. Many gender scholars also include reproductive self-determination, specifically abortion. FL rules also have multiple elements: e.g., marriage regulations govern age, “race,” sex, domicile, etc., that often differ across constituent units. The main variable examined is the extent of centralization, because the dominant pattern of regulation in these cases is centralized legislation and decentralized implementation. The other two variables explored are religion and international norms-building and their effects on FL regulation and reform.
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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 | 0.001 | 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".