Bibliographic record
Abstract
Everything has an end and nothing is eternal in this world. Some people come and others are annihilated. These annihilated nations leave their inscriptions, historical and religious monuments and other remaining’s which become cultural and intellectual symbol for later generations. Damascus is one of the oldest inhabited cities in the world which is closely linked with important historical events, ideas, traditions and traces of earlier cultures especially from the Islamic period. It also testifies to the unique aesthetic achievements of the civilizations as well as it exhibits outstanding evidences of the civilizations which created it. In this regard traveller's travelogues plays a very important role to get accurate records of particular peoples, places, customs and ceremonies etc. We see that travellers towards Damascus paid their best efforts to give an account of the prevalent social milieu and a deep insight into their culture, habitation and historical and religious monuments which is important not only for Muslims but also for other religions. This article is a comparative study of Damascus' historical and religious monuments in the light of the travelogues of Ibn Jubair and Ibn Battūta which specially discusses the existence of these Places, their history and geography such as the Tomb of Maryam, cave of Prophet Ibrahim, Qubūr al-Shuhadāʻ, the Mosque of al-Qadam and Umayyad Mosque etc.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.977 | 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".