South Siberian material in Radloff’s dictionary
Bibliographic record
Abstract
South Siberian material makes up about a quarter of Wilhelm Radloff’s Versuch eines Wörterbuches der Türk-Dialecte, making the dictionary by far the richest source for 19th century Siberian Turkic. The paper examines three aspects of this collection: its coverage, its phonetic accuracy, and the methodological choices made by Radloff, together with their implications for the usefulness of what is probably his most momentous work.Güney Sibirya materyali, Wilhelm Radloff’un Versuch eines Wörterbuches der Türk-Dialecte’sinin yaklaşık dörtte birini oluşturmakta ve bu da sözlüğü 19. yüzyıl Sibirya Türkçesi için açık ara en zengin kaynak hâline getirmektedir. Bu makalede söz konusu koleksiyon üç yönden incelenmektedir: kapsamı, fonetik doğruluğu ve Radloff tarafından yapılan metodolojik seçimler ile birlikte muhtemelen en önemli eserinin kullanışlılığına ilişkin çıkarımlar.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.013 |
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".