Ozan Ozavci. <i>Dangerous Gifts: Imperialism, Security, and Civil Wars in the Levant, 1798–1864</i>.
Bibliographic record
Abstract
Dangerous Gifts takes its title from the late American Lebanese neocon pundit Fouad Ajami, who justified the illegal US invasion in 2003 as “a foreigner’s gift to the Iraqi inhabitants.” Ozan Ozavci’s is a detailed historical study of the “Eastern Question’s” security paradox: the more the major post-Napoleonic powers—France, Britain, Russia, Austria, increasingly Prussia, and decreasingly Egypt—intervened in the affairs of the Ottoman Empire in the name of security, the more insecure the eastern Mediterranean became. To Ozavci’s credit, the book does not respond to Ajami with the old Baathist dictum “we have a dictator but at least he is ours.” The analysis is refreshingly Ottoman centric. The first half of the book runs along the axis of an intense Istanbul-Cairo rivalry. This rivalry would eventually take both countries to bankruptcy in the 1870s, but the second half of the book ends with the international responses to the midcentury civil wars in Mount Lebanon.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".