Bibliographic record
Abstract
This chapter tracks the governance of Mehmet Ali in Egypt for over a quarter of a century before he invaded Syria in 1831–32. In Egypt, there was a lot of positive British engagement with Mehmet Ali, who seemed both a necessary and a beneficial figure. The chapter argues that it was less flamboyant than the French courting of him, but it achieved three essential British aims. First was safe travel through the country, which was crucial in reaching India—and in exploring Egyptian history. The second was a political influence: Mehmet Ali was the strongest military leader in the Ottoman Empire and a key figure in resolving the Greek crisis. The third was an economic gain for well-placed individuals. By the 1830s, there were a lot of British “Mehmetists.” Ultimately, the chapter examines a vigorous debate about Mehmet Ali's regime. It follows how the debate came to turn on whether Mehmet Ali's statist regime was suited to a potentially European space like Syria, or just to “African” Egypt.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".