Bibliographic record
Abstract
The debate on the Uniform Civil Code (UCC) in India raises critical concerns about its impact on the tribal communities' distinct customary laws and cultural autonomy guaranteed under the Fifth and Sixth Schedules of the Constitution.This study explores the intersection of tribal rights and the UCC, moving beyond the legal uniformity to address broader issues of identity, self-governance, and pluralism.Using a doctrinal methodology, the research analyzes constitutional provisions, legislative frameworks, and judicial precedents while incorporating insights from ethnographic studies and interviews with tribal leaders and legal experts.The findings reveal that implementing a one-size-fits-all UCC risks undermining tribal autonomy, disrupting traditional legal systems, and fostering cultural alienation.Drawing from comparative legal frameworks in countries like South Africa and Canada, the study emphasizes the need for a context-sensitive approach that harmonizes gender justice and human rights with respect for tribal traditions.This work advocates for a pluralistic UCC model, ensuring inclusivity and equity while preserving India's diverse socio-cultural fabric.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.036 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".