Bibliographic record
Abstract
Syed Kastīr Gul, commonly known as Kākā Ṣāḥib and Sheikh Raḥamkār, is a great mystic of 10th century. He is famous for his outstanding services for peace, love and harmony. Thousands of visitors and pilgrims come to his shrine every day for their spiritual satisfaction. This paper studies the opinions of Shaheed Benazir Bhutto University students about the role of Kākā Ṣāḥib and his shrine regarding the services of this great mystic for maintaining peace, harmony and love in the society. Results of the research are obtained by using qualitative and quantitative methods. The views of the students are displayed through tables and different shapes. Majority of the students have admitted that a mystic, through Islamic teachings, can play a significant role in creating peace and harmony in the society. Their thoughts demonstrate that Kākā Ṣāḥib spent his whole life for the service of humanity. Society can get huge inspiration from this pious personality and his shrine to avoid violence and to create a peaceful environment in the society.
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.
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) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 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".