Psychoanalysis, Fantasy, Postcoloniality: Turkish Nationalism and Historiography in Post-Ottoman Turkey
Bibliographic record
Abstract
In this article, I investigate the surge of scholarly interest in Ottoman minorities since 1980s - a surge that acts in defense of a national culture. What distinguishes the nationalist-cum-Ottomanist historiography of the Turkish historians under study here is the heavy emphasis on notions of tolerance and multiculturalism with direct reference to the imperial era of 15th and 17th centuries. This emerging discourse has been striving to rebut the Orientalist stigmas attributed to Turkish-Ottoman culture and civilization—such as barbaric, despotic and authoritarian—and construct its own tolerant and multicultural historical imagery. Drawing upon the urgent lessons of postcolonial experience, theory and history, I analyze the pitfalls of uncritically clinging to such an imaginary. The emergence of this new Turkish-Ottoman imaginary and its discourse of a Turkish nativism and Occidentalism that emphasizes minority rights, tolerance and the harmonious coexistence of a plurality remains an under-explored territory for postcolonial criticism. The analysis of nostalgic Ottoman literature can illuminate how the ‘Occident/Western’ and ‘Oriental/Derivative’ (i.e. the Ottoman and Turkish) formations of the national imaginary are constructed, remembered and contested in the contemporary global order.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.027 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".