Situating Russia in Asia, Past and Present An interview with David Schimmelpenninck van der Oye
Bibliographic record
Abstract
On December 15th last, David Schimmelpenninck van der Oye, Professor of Russian Studies at Brock University in Ontario, visited Leiden for a lecture on the applicability of Edward Said's theories on Orientalism to Russian images of Asia. He kindly consented to a lunchtime conversation with fellow Russianist Henk Kern and Carolien Stolte to talk about his life, his work and his most recent book. David Schimmelpenninck van der Oye teaches courses in Russian and Inner Asian history. His research interests focus on Imperial Russian intellectual, cultural and diplomatic issues. He has written two books, Toward the Rising Sun: Ideologies of Empire and the Path to War with Japan (DeKalb: Northern Illinois University Press, 2001), and Russian Orientalism: Asia in the Russian Mind from Peter the Great to the Emigration (New Haven: Yale University Press, 2010).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.007 |
| 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".