Bibliographic record
Abstract
This article walks around the fight back to ignite the constitutional judicial power by the apex court of Pakistan and imposition of emergency to snub, dictate, and introduce loyal judges to guard political and extra-constitutional personal interests. The meeting points of this article based on two questions: first, what made the supreme court to go against the then-existing military dictator; second, what was ‘irritating’ and authority challenging decision in public litigation, constitutional and administrative domain; third, how did Musharraf tackle, de-seat, and house arrest the judges, and brought the PCO judges, and de facto supreme court by way of imposing emergency. It is also made clear how de facto Supreme Court accommodated and paid back Musharraf by letting him take over the office of President of Pakistan, legalizing all the illegal actions and orders made by Musharraf, and reversed all the orders made by the previous Supreme Court judges. During all this time, lawyers were very active for the sanctity of the Constitution, law, and democracy, so they, with the cooperation of civil society and political parties, did a great dent to Musharraf and all his efforts to remain in power failed and he had to resign to avoid impeachment.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.981 | 0.983 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".