Bibliographic record
Abstract
Dr. Israr Ahmad was a great teacher of the twentieth century, a Qur'anic thinker, a preacher of Islam and a revolutionary thinker on the subject of Iqamat-e-Din. In your lessons and books, there is a deep religious awareness and understanding, pain and anguish over the condition of the ummah. He worked all his life for the domination of Islam, first in Pakistan and then in the whole world. There can be no other opinion about their sincerity and understanding of religion, but in any period of history, no human being among the non-prophets has been exempted from error and criticism. Criticism in the scientific and research process does not mean insult or denigration at all, but the spirit of seeking truth is the goal. From this point of view, the sections of the society which Dr. Israr Ahmad criticized in his written or oral language during his revolutionary struggle have inevitably done critical work in some cases. Below is an overview of Dr. Israr Ahmad's views in the light of his criticisms wherever he criticized.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.982 | 0.981 |
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".