The ‘Free Access to Law Movement’ in India: Supporting Legal Education, Research and Practice
Bibliographic record
Abstract
The internet and the World Wide Web ( www) has allowed the free flow of information across countries. Peter Martin and Tom Bruce from Cornell Law School pioneered the development of the ‘Free Access to Law Movement’ around the world. The Australian Legal Information Institute and various other Legal Information Institutes (LIIs) were established by adopting the Montreal Declaration at the Law via Internet Conference held in 2002. As a member of the United Nations, India adopted the UNESCO policy guidelines for the development and promotion of governmental public domain information. In India, the National Informatics Centre has played a leading role in supporting the maintenance and dissemination of Indian government public information that is useful for legal education, research and practice. This paper by Priya Rai, and Akash, gives a brief informative overview of the ‘free access to law movement’ resources pertaining to India. These resources have been categorised for easier understanding: parliamentary resources, legislative resources, case laws, law reform reports, international treaties and legal scholarship and journals. The article also provides an overview of the Legal Information Institute of India extending its contribution to disseminating Indian legal information.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.002 | 0.017 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".