Active After Sunset<scp>:</scp> The Politics of Judicial Retirements in India
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Indian judges retire, but not into inactivity. Many pursue careers in government-appointed roles. Scaffolded around the concept of institutional corruption, this article interrogates the history, law and politics of the retirement careers of judges in India. Three questions take centre stage in this analysis: What types of careers do retired judges pursue? Why do they pursue them? How do judges’ post-retirement ambitions impact their pre-retirement decisions? The cumulative analysis suggests that the Supreme Court of India, not specific judges, benches or decisions, is institutionally corrupt. The system of post-retirement jobs cycles like an economy of influence that is weakening the institution’s effectiveness, especially its capacity for impartial adjudication in matters that involve governments. But the Indian court’s performance and its public reception also reveal unique attributes that can enrich our general understanding of institutional corruption and separate the concept’s essential features from its auxiliary ones.
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.
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 | 0.001 |
| 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 | 0.001 |
| 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 it