Appointment of Judges to the Supreme Court of India
Bibliographic record
Abstract
In Supreme Court Advocates-on-Record Association v. Union of India [(2016) 5 SCC 1], a five-judge bench of the Supreme Court struck down the 99th Amendment to the Constitution and the National Judicial Appointments Commission (NJAC) Act, 2014, which replaced the existing collegium system with the NJAC, a new bipartisan model for appointing judges. This edited volume uses the judgment in the NJAC Case as a springboard to address the politics, doctrine, and developments pertaining to judicial appointments in India. It critically examines fundamental constitutional concepts such as rule of law, separation of powers, basic structure, and judicial independence which formed the basis of the judgment. It provides a rich and detailed history of post-Independence appointment of judges to locate the NJAC Case in its proper constitutional context. It also analyses reforms to judicial appointments in key South Asian and common law jurisdictions to understand what appointments in India might look like in the future. The volume has 21 essays across three parts—Part I provides an analysis of judicial appointments in India from the time prior to Independence to the present day, Part II analyses constitutional principles and their application in the NJAC Case, and Part III is a comparative enquiry into appointments processes in the United Kingdom, South Africa, Canada, Pakistan, Sri Lanka, and Nepal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".