Regional Differences in the Ottoman-Controlled Middle Danube Area in the Sixteenth Century: New Research Possibilities
Bibliographic record
Abstract
Abstract This article approaches the possibilities of researching regional demographic and economic differences in the Ottoman-controlled areas of the medieval Hungarian Kingdom proper in two very different settings. First, it provides research options on sixteenth-century dually ruled Hungary in the southeastern area between the Drava and the Danube. This region was the Habsburg-Ottoman border zone in this period. The second section of the article focuses on case studies of the subprovinces of Požega and Szeged and the possibilities of their comparison. Both of these sanjaks were positioned in the interior of Ottoman territory and shared similarities, but they were also very different in certain aspects, particularly the presence of Muslims. The data for this article is provided by several Hungarian and, to a more considerable extent, Ottoman surveys, which are to a large degree digitized. The authors use the data on settlements, population, landholding, and state income from taxes preserved in these sources to provide various indicators that can outline the possibilities for further research.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".