Bringing the imperial back in: Reconsidering governance in the late Ottoman Empire, 1839–1923 (Part I)
Bibliographic record
Abstract
Abstract This is the first of two connected articles that survey recent trends in the historical scholarship of Ottoman imperial governance from the beginning of the Tanzimat state building efforts in the 1830s to the end of empire in the early 1920s. In both articles, I examine how historians have answered the question of what was imperial about the ways in which the Ottoman Empire was governed during this period. Throughout this two‐part series I argue that an approach that pays attention to the capacity to govern, as Jane Burbank and Frederick Cooper put it, “different people differently” through a broad repertoire of rule, balancing this politics of difference with the politics of incorporation, is more conducive to bringing out the complexities of late Ottoman governance than teleological assumptions that consider the empire during this period on a linear path toward the nation state. Part I begins with a brief discussion of different ways in which historians have conceptualized imperial governance in the Ottoman context. I will then demonstrate that scholarship on the empire's peripheries in Transjordan, Mount Lebanon, Yemen, and Albania was instrumental in reframing the study of late Ottoman governance by taking its imperial dimensions seriously.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.020 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".