Cooking the past : the revival of Ottoman cuisine
Bibliographic record
Abstract
Since the 1990s, Turkey has started to develop an extensive interest in its Ottoman past. The view of the Ottomans as "backward" and "pre-modern" that once held sway has given way to a view that grasps the Ottoman past as "open," "tolerant," and "cosmopolitan." Food is one of the areas in which Turkey's Ottoman past is negotiated. This dissertation attempts to trace the revival of Ottoman cuisine through experiences of production, representation, and commodification in Istanbul. It seeks to understand multiple discourses involved in the relationship between the past and the present, within a context where history implicates both continuity and novelty. Ottoman cuisine has developed not only as the foundation of traditional Turkish cuisine, but also as its "other." This dissertation examines the revival of Ottoman cuisine through an analysis of diverse sources, such as cookbooks, media, culinary institutes, cultural and social organizations, the cultural policies of the state, and mainstream restaurant and festival venues. Finally, it asserts that the revival of Ottoman cuisine in particular seems to feed multiple discourses of cosmopolitanism. The turn back to the Ottoman period is both nationalistic and cosmopolitan, such that cosmopolitanism is turned into a national image and a national cultural asset. As a result, the past becomes a utopian project for the future, and cosmopolitanism of the past haunts Turkey and Istanbul as a progressive image for the contemporary world.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.020 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".