Bibliographic record
Abstract
The present article studies Punjabi Islamic culture in Ahmad Nadeem Qāsmī’s fictions. It concludes that Punjabi rural society is present in the fictions of Ahmad Nadeem Qāsmī’ with all its realities and bitterness. Especially with regard to Punjab, whether it is the civilized life of the city or the backward environment of the village and its problems. Qāsmī’ has many legendary pictures of Punjab. Be it fiction or poetry, Qāsmī’ has not deviated from the cultural and intellectual tradition but has been keen to present it with heart and soul. During this long period of writing, Qāsmī’ was not affected by the negative tendencies of the contemporary movements. The breadth of tone in his writing, the ego, the heartbreak, the way of thinking remained so metaphysical that all the pain and anguish comes to an end in his words. He revived the villages of Punjab, their way of life, customs, morals and habits with pictures of words. They also describe the romantic atmosphere of the villages of Punjab. The problems of the fields, the peasants, the peasantry, the sorrows, the worries, the British Raj and their established feudal system, when man is victimized by human beings, the poor man is oppressed. While showing the social aspects, he also presented the customs, dress, celebrations, speech and temperament of the villages of Punjab.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.969 | 0.968 |
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".