Bibliographic record
Abstract
When any nation conquers any country, the conquered nation gives up its national characteristics and traditions and follows the footsteps of conqueror. But sensible and perceptive Muslims of India released the danger of ruler of that time and advised the Muslims of Sub-Continent to get education to overcome the danger. The Muslim’s thinking was based on foresightedness because after being deprived of political power there remained nothing except education. It was education through which they could protect their identity. The scholars of sub-continent focused their full attention to the teachings of traditional syllabus. For this purpose, Arabic Madaris/Institutes were established, through these Madaris. The Muslims paid attention for the development of Arabic language with Tafseer, Hadees, and Fiqh. The Muslims did not lose their own educational system instead of being enslaved. In Sub-Continent regular system of Madaris was established with the arrival of the Muslims in the sub-continent.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.996 | 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; both teacher heads 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".