Murat Yaşar, The North Caucasus Borderland Between Muscovy and the Ottoman Empire, 1555-1605
Bibliographic record
Abstract
Belated child of the author’s doctoral dissertation (e North Caucasus in the Second Half of the Sixteenth Century: Imperial Entanglements and Shifting Loyalties, University of Toronto, 2011), this book analyses a largely overlooked and rather challenging aspect of the early modern Ottoman foreign policy: the border between the Ottoman Empire and the Muscovite State on the North Caucasus frontier. As Yaşar claims in the Introduction, the study’s motivation was to remedy the scholarly malady of exclusive approaches to the geography whereby the Turk- ish historians tended to rely heavily on Turkish archival sources, and the Western researchers (as well as the Russians) on the Russian ones. Such an approach, as the author continues, inevitably produced rather inimical historiographies in which Russian researchers were inclined to portray a duo of “slave-harvesting Ottoman Empire and Crimean Khanate” while the Turkish scholars painted a picture “of Russian aggression against the local peoples who strove to be under Crimean/Ottoman/Turkish rule because they were Muslims (p. 9)”.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".