Two Waqfnamas of Belgrade from the 16th and the 18th Century - Contributions to the Study of Belgrade Waqfs (Endowments)
Bibliographic record
Abstract
This paper examines two waqfnamas (endowment legal document; deed of endowment) which date back to the 16th and the 18th century, and they refer to the waqfs (endowments) in Belgrade. Haji Osman, son of Husein, endowed the sum of 8200 akca (silver coins) by the waqfnama from 1566, and the income, which was earned from doing the business with that money, was intended for the purpose of maintaining the mosque in Zaynuddin-aga’s Mahala (mahala: a city quarter) in Belgrade and the reading of the Qur’an for the soul of the waqif (endower) on a regular basis. The second waqfnama, which established the waqf of Defterdar Ahmed Kamil-efendija, was written in 1741. This benefactor from Belgrade built, or to be more precise, restored the three mosques in Belgrade: Defterdar’s Mosque, the Tugdži Mosque and the mosque in the Požarevac qadiluk (the jurisdictional district of a qadi). For the upkeep of these mosques, but also for other charitable purposes, he endowed a hān (an inn providing accommodation, food, and drink, especially for travellers), a watermill, a vineyard, and a large number of properties such as residential buildings, shops and land.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".